SlideShare a Scribd company logo
1 of 8
Download to read offline
www.jntuworld.com

         Code No: 05411205                                                 Set No. 1
                JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
                   IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010
                                        IMAGE PROCESSING
                                          Objective Exam
         Name: ______________________________ Hall Ticket No.            A
          Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20.

         I     Choose the correct alternative:

         1.    Scaling of an image is performed during _________ stage.                                       [   ]
               a. Image Acquisition                       b. Image Enhancement
               c. Morphological Processing                d. Image Compression

         2.    If f(x,y) represents an image, then which of the following is the most suitable option?      [     ]
               a. 0 < f(x,y) < 1       b. 1 < f(x,y) < ∞     c. 0 < f(x,y) < ∞              d. 0 < f(x,y) < 1

         3.    The equation s = crγ reduces to identity transformation when
               a. C = 1               b. γ = 0, c = 1        c. C = γ = 1
                                                                                       D
                                                                                    d. γ = 0


                                                                                     L
                                                                                                              [   ]




                                                                      R
         4.    Which of the following is not a piecewise linear transformation function?                      [   ]
               a. Contrast Stretching                       b. Gray – level slicing
               c. Bit plane slicing                         d. Histogram Equalization

         5.
                                                                    O
                The transformation function T(r) is monotonic. What do you infer from this?              [      ]
                  I.




                                                U W
                       T(r) is single-valued at any point.
                 II. T(r) covers the whole range of values from black to white in the output image
                III. T(r) is a discrete-valued function.
               a. Both I and II are true b. Only II is true    c. Only I is true         d. All three are true.

         6.


                                N T
               The method used to generate a processed image that has a specified histogram is
               a. Histogram Equalization
               c. Histogram processing
                                                          b. Histogram specification
                                                          d. Histogram linearization
                                                                                                              [   ]



         7.


         8.
                          J
               Mask mode radiography uses which of the following methods?
               a. Image Subtraction b. Image Averaging c. Spatial Filtering

               A: Pixels are modified based on the gray-level content of the entire image
                                                                                               d. Smoothing
                                                                                                              [   ]



               R: The no. of pixels in the smaller areas may have negligible influence on the computation of the
               global transformation                                                                    [        ]
               a. Both A and R are true and R is the correct explanation of A.
               b. Both A and R are true but R is not the correct explanation of A.
               c. A is true and R is false.           d. A is false and R is true.

         9.    Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the
               points P(3,5) and Q(4,7). Then                                                         [           ]
               a. A > B > C          b. B > A > C          c. A > C > B         d. C > A > B

         10.   Image Restoration involves _______________________                                           [     ]
               a. Image Multiplication b. Image Averaging     c. Image Subtraction               d. Smoothing

                                                                                                     Cont…2

                                                   www.jntuworld.com
www.jntuworld.com


         Code No: 05411205                                   -2-                                    Set No. 1


         II.   Fill in the blanks:

         11.   Digitizing the coordinate values is called __________________.

         12.   __________________ methods are procedures that operate directly on pixels.

         13.   The general form of log transformation is _______________________.

         14.   The process used to correct the power law response phenomena is called _______.

         15.   In isotropic filters, the response is independent of ______in the image to which the filter is applied.

         16.   __________________ is used to enhance prominent edges in an image.

         17.

         18.
               The standard deviation of Rayliegh Noise is given by ________________.



                                                                                     L D
               ___________________ filter works well for salt noise but fails for pepper noise.

         19.

         20.   Express I in terms of R, G, B. _____________

                                                                    O R
               ____________________ consists of assigning colors to gray values based on a specified criterion.




                                                U W
                                N T                           -oOo-




                         J


                                                   www.jntuworld.com
www.jntuworld.com

         Code No: 05411205                                                 Set No. 2
                JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
                   IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010
                                        IMAGE PROCESSING
                                          Objective Exam
         Name: ______________________________ Hall Ticket No.            A
          Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20.

         I     Choose the correct alternative:

         1.    Which of the following is not a piecewise linear transformation function?                      [   ]
               a. Contrast Stretching                   b. Gray – level slicing
               c. Bit plane slicing                         d. Histogram Equalization

         2.     The transformation function T(r) is monotonic. What do you infer from this?                [      ]
                I.     T(r) is single-valued at any point.
                II.    T(r) covers the whole range of values from black to white in the output image



         3.
                III.   T(r) is a discrete-valued function.
               a. Both I and II are true b. Only II is true     c. Only I is true


                                                                                     L D   d. All three are true.

               The method used to generate a processed image that has a specified histogram is                [   ]



         4.
               a. Histogram Equalization
               c. Histogram processing


                                                                    O R
                                                          b. Histogram specification
                                                          d. Histogram linearization

               Mask mode radiography uses which of the following methods?                                     [   ]


         5.

                                                U W
               a. Image Subtraction b. Image Averaging c. Spatial Filtering

               A: Pixels are modified based on the gray-level content of the entire image
                                                                                               d. Smoothing


               R: The no. of pixels in the smaller areas may have negligible influence on the computation of the


                                  T
               global transformation
               a. Both A and R are true and R is the correct explanation of A.


                                N
               b. Both A and R are true but R is not the correct explanation of A.
               c. A is true and R is false.           d. A is false and R is true.
                                                                                                        [        ]




         6.
                          J
               Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the
               points P(3,5) and Q(4,7). Then
               a. A > B > C          b. B > A > C          c. A > C > B         d. C > A > B
                                                                                                      [           ]


         7.    Image Restoration involves _______________________                                           [     ]
               a. Image Multiplication b. Image Averaging     c. Image Subtraction               d. Smoothing

         8.    Scaling of an image is performed during _________ stage.                                       [   ]
               a. Image Acquisition                       b. Image Enhancement
               c. Morphological Processing         d. Image Compression

         9.    If f(x,y) represents an image, then which of the following is the most suitable option?      [     ]
               a. 0 < f(x,y) < 1       b. 1 < f(x,y) < ∞     c. 0 < f(x,y) < ∞              d. 0 < f(x,y) < 1

         10.   The equation s = crγ reduces to identity transformation when                                   [   ]
               a. C = 1               b. γ = 0, c = 1        c. C = γ = 1           d. γ = 0

                                                                                                     Cont…2

                                                   www.jntuworld.com
www.jntuworld.com


         Code No: 05411205                                   -2-                                    Set No. 2


         II.   Fill in the blanks:

         11.   The process used to correct the power law response phenomena is called _______.

         12.   In isotropic filters, the response is independent of ______in the image to which the filter is applied.

         13.   __________________ is used to enhance prominent edges in an image.

         14.   The standard deviation of Rayliegh Noise is given by ________________.

         15.   ___________________ filter works well for salt noise but fails for pepper noise.

         16.   ____________________ consists of assigning colors to gray values based on a specified criterion.

         17.

         18.
               Express I in terms of R, G, B. _____________

               Digitizing the coordinate values is called __________________.
                                                                                     L D
         19.

         20.
                                                                    O R
               __________________ methods are procedures that operate directly on pixels.

               The general form of log transformation is _______________________.




                                                U W
                                N T                        -oOo-




                         J


                                                   www.jntuworld.com
www.jntuworld.com

         Code No: 05411205                                                 Set No. 3
                JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
                   IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010
                                        IMAGE PROCESSING
                                          Objective Exam
         Name: ______________________________ Hall Ticket No.            A
          Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20.

         I     Choose the correct alternative:

         1.    The method used to generate a processed image that has a specified histogram is                [   ]
               a. Histogram Equalization                  b. Histogram specification
               c. Histogram processing                    d. Histogram linearization

         2.    Mask mode radiography uses which of the following methods?                                     [   ]
               a. Image Subtraction b. Image Averaging c. Spatial Filtering                    d. Smoothing

         3.

               global transformation
               a. Both A and R are true and R is the correct explanation of A.
                                                                                     L D
               A: Pixels are modified based on the gray-level content of the entire image
               R: The no. of pixels in the smaller areas may have negligible influence on the computation of the
                                                                                                        [        ]




         4.
                                                                      R
               b. Both A and R are true but R is not the correct explanation of A.
               c. A is true and R is false.           d. A is false and R is true.


                                                                    O
               Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the



         5.
               points P(3,5) and Q(4,7). Then
               a. A > B > C          b. B > A > C



                                                U W        c. A > C > B

               Image Restoration involves _______________________
                                                                                d. C > A > B
                                                                                                      [


                                                                                                            [
                                                                                                                  ]


                                                                                                                  ]


         6.

                                N T
               a. Image Multiplication b. Image Averaging     c. Image Subtraction

               Scaling of an image is performed during _________ stage.
               a. Image Acquisition                       b. Image Enhancement
                                                                                                 d. Smoothing

                                                                                                              [   ]



         7.              J
               c. Morphological Processing


               a. 0 < f(x,y) < 1
                                                   d. Image Compression

               If f(x,y) represents an image, then which of the following is the most suitable option?
                                       b. 1 < f(x,y) < ∞     c. 0 < f(x,y) < ∞
                                                                                                            [
                                                                                            d. 0 < f(x,y) < 1
                                                                                                                  ]


         8.    The equation s = crγ reduces to identity transformation when                                   [   ]
               a. C = 1               b. γ = 0, c = 1        c. C = γ = 1           d. γ = 0

         9.    Which of the following is not a piecewise linear transformation function?                      [   ]
               a. Contrast Stretching               b. Gray – level slicing
               c. Bit plane slicing                         d. Histogram Equalization

         10.   The transformation function T(r) is monotonic. What do you infer from this?                [      ]
               I.     T(r) is single-valued at any point.
               II.    T(r) covers the whole range of values from black to white in the output image
               III.   T(r) is a discrete-valued function.
               a. Both I and II are true b. Only II is true    c. Only I is true          d. All three are true.
                                                                                                  Cont…2


                                                   www.jntuworld.com
www.jntuworld.com


         Code No: 05411205                                   -2-                                    Set No. 3


         II.   Fill in the blanks:

         11.   __________________ is used to enhance prominent edges in an image.

         12.   The standard deviation of Rayliegh Noise is given by ________________.

         13.   ___________________ filter works well for salt noise but fails for pepper noise.

         14.   ____________________ consists of assigning colors to gray values based on a specified criterion.

         15.   Express I in terms of R, G, B. _____________

         16.   Digitizing the coordinate values is called __________________.

         17.

         18.   The general form of log transformation is _______________________.

                                                                                     L D
               __________________ methods are procedures that operate directly on pixels.



         19.

         20.

                                                                    O R
               The process used to correct the power law response phenomena is called _______.

               In isotropic filters, the response is independent of ______in the image to which the filter is applied.




                                                U W
                                N T                    -oOo-


                         J


                                                   www.jntuworld.com
www.jntuworld.com

         Code No: 05411205                                                 Set No. 4
                JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
                   IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010
                                        IMAGE PROCESSING
                                          Objective Exam
         Name: ______________________________ Hall Ticket No.            A
          Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20.

         I     Choose the correct alternative:

         1..   A: Pixels are modified based on the gray-level content of the entire image
               R: The no. of pixels in the smaller areas may have negligible influence on the computation of the
               global transformation                                                                    [        ]
               a.       Both A and R are true and R is the correct explanation of A.
               b.       Both A and R are true but R is not the correct explanation of A.
               c. A is true and R is false.           d. A is false and R is true.

         2.

               a. A > B > C          b. B > A > C          c. A > C > B

                                                                                     L D
               Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the
               points P(3,5) and Q(4,7). Then
                                                                                d. C > A > B
                                                                                                      [           ]


         3.


         4.
               Image Restoration involves _______________________
               a.    Image Multiplication b. Image Averaging


                                                                    O R
               Scaling of an image is performed during _________ stage.
                                                                             c. Image Subtraction
                                                                                                            [     ]
                                                                                                       d. Smoothing

                                                                                                              [   ]



         5.
               a. Image Acquisition
               c. Morphological Processing



                                                U W       b. Image Enhancement
                                                   d. Image Compression

               If f(x,y) represents an image, then which of the following is the most suitable option?      [     ]


         6.
               a. 0 < f(x,y) < 1


               a. C = 1
                                N T    b. 1 < f(x,y) < ∞


                                      b. γ = 0, c = 1
                                                             c. 0 < f(x,y) < ∞

               The equation s = crγ reduces to identity transformation when
                                                             c. C = γ = 1           d. γ = 0
                                                                                            d. 0 < f(x,y) < 1

                                                                                                              [   ]


         7.
                          J
               Which of the following is not a piecewise linear transformation function?
               a. Contrast Stretching
               d. Bit plane slicing
                                                    b. Gray – level slicing
                                                            d. Histogram Equalization
                                                                                                              [   ]



         8.     The transformation function T(r) is monotonic. What do you infer from this?                [      ]
                I.     T(r) is single-valued at any point.
                II.    T(r) covers the whole range of values from black to white in the output image
                III.   T(r) is a discrete-valued function.
               a. Both I and II are true b. Only II is true     c. Only I is true          d. All three are true.

         9.    The method used to generate a processed image that has a specified histogram is                [   ]
               a. Histogram Equalization                  b. Histogram specification
               c. Histogram processing                    d. Histogram linearization

         10.   Mask mode radiography uses which of the following methods?                                     [   ]
               a. Image Subtraction b. Image Averaging c. Spatial Filtering                    d. Smoothing

                                                                                                     Cont…2

                                                   www.jntuworld.com
www.jntuworld.com


         Code No: 05411205                                   -2-                                    Set No. 4


         II.   Fill in the blanks:

         11.   ___________________ filter works well for salt noise but fails for pepper noise.

         12.   ____________________ consists of assigning colors to gray values based on a specified criterion.

         13.   Express I in terms of R, G, B. _____________

         14.   Digitizing the coordinate values is called __________________.

         15.   __________________ methods are procedures that operate directly on pixels.

         16.   The general form of log transformation is _______________________.

         17.

         18.

                                                                                     L D
               The process used to correct the power law response phenomena is called _______.

               In isotropic filters, the response is independent of ______in the image to which the filter is applied.

         19.

         20.

                                                                    O R
               __________________ is used to enhance prominent edges in an image.

               The standard deviation of Rayliegh Noise is given by ________________.




                                                U W
                                N T                  -oOo-




                         J


                                                   www.jntuworld.com

More Related Content

What's hot

Comprehensive Infrared Image Edge detection Algorithm
Comprehensive Infrared Image Edge detection AlgorithmComprehensive Infrared Image Edge detection Algorithm
Comprehensive Infrared Image Edge detection AlgorithmCSCJournals
 
Ijarcet vol-2-issue-7-2246-2251
Ijarcet vol-2-issue-7-2246-2251Ijarcet vol-2-issue-7-2246-2251
Ijarcet vol-2-issue-7-2246-2251Editor IJARCET
 
Chapter 9 morphological image processing
Chapter 9   morphological image processingChapter 9   morphological image processing
Chapter 9 morphological image processingAhmed Daoud
 
Morphological image processing
Morphological image processingMorphological image processing
Morphological image processingRaghu Kumar
 
Chapter 9 morphological image processing
Chapter 9 morphological image processingChapter 9 morphological image processing
Chapter 9 morphological image processingasodariyabhavesh
 
Morphology in graphics and image processing
Morphology in graphics and image processingMorphology in graphics and image processing
Morphology in graphics and image processingDheeban Smart
 
Chapter 9 morphological image processing
Chapter 9   morphological image processingChapter 9   morphological image processing
Chapter 9 morphological image processingAhmed Daoud
 
COM2304: Morphological Image Processing
COM2304: Morphological Image ProcessingCOM2304: Morphological Image Processing
COM2304: Morphological Image ProcessingHemantha Kulathilake
 
nternational Journal of Computational Engineering Research(IJCER)
nternational Journal of Computational Engineering Research(IJCER)nternational Journal of Computational Engineering Research(IJCER)
nternational Journal of Computational Engineering Research(IJCER)ijceronline
 
Image Processing, 2012
Image Processing, 2012Image Processing, 2012
Image Processing, 2012Sanjay Goel
 
F044045052
F044045052F044045052
F044045052inventy
 
Smkst scheme of work f4
Smkst scheme of work f4Smkst scheme of work f4
Smkst scheme of work f4rosdey
 

What's hot (19)

Comprehensive Infrared Image Edge detection Algorithm
Comprehensive Infrared Image Edge detection AlgorithmComprehensive Infrared Image Edge detection Algorithm
Comprehensive Infrared Image Edge detection Algorithm
 
Ijarcet vol-2-issue-7-2246-2251
Ijarcet vol-2-issue-7-2246-2251Ijarcet vol-2-issue-7-2246-2251
Ijarcet vol-2-issue-7-2246-2251
 
Chapter 9 morphological image processing
Chapter 9   morphological image processingChapter 9   morphological image processing
Chapter 9 morphological image processing
 
Morphological image processing
Morphological image processingMorphological image processing
Morphological image processing
 
Chapter 9 morphological image processing
Chapter 9 morphological image processingChapter 9 morphological image processing
Chapter 9 morphological image processing
 
Morphology in graphics and image processing
Morphology in graphics and image processingMorphology in graphics and image processing
Morphology in graphics and image processing
 
cxc.Mathsexam1
cxc.Mathsexam1cxc.Mathsexam1
cxc.Mathsexam1
 
Chapter 9 morphological image processing
Chapter 9   morphological image processingChapter 9   morphological image processing
Chapter 9 morphological image processing
 
June 2006
June 2006June 2006
June 2006
 
Hit and-miss transform
Hit and-miss transformHit and-miss transform
Hit and-miss transform
 
January 2009
January 2009January 2009
January 2009
 
COM2304: Morphological Image Processing
COM2304: Morphological Image ProcessingCOM2304: Morphological Image Processing
COM2304: Morphological Image Processing
 
January 2008
January 2008January 2008
January 2008
 
nternational Journal of Computational Engineering Research(IJCER)
nternational Journal of Computational Engineering Research(IJCER)nternational Journal of Computational Engineering Research(IJCER)
nternational Journal of Computational Engineering Research(IJCER)
 
Image Processing, 2012
Image Processing, 2012Image Processing, 2012
Image Processing, 2012
 
F044045052
F044045052F044045052
F044045052
 
January 2010
January 2010January 2010
January 2010
 
56 58
56 5856 58
56 58
 
Smkst scheme of work f4
Smkst scheme of work f4Smkst scheme of work f4
Smkst scheme of work f4
 

Similar to JNTU Hyderabad Image Processing Exam Questions

APPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKING
APPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKINGAPPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKING
APPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKINGsipij
 
Face detection ppt
Face detection pptFace detection ppt
Face detection pptPooja R
 
127 cj052019
127 cj052019127 cj052019
127 cj052019Joel P
 
A Modified Algorithm for Thresholding and Detection of Facial Information Fro...
A Modified Algorithm for Thresholding and Detection of Facial Information Fro...A Modified Algorithm for Thresholding and Detection of Facial Information Fro...
A Modified Algorithm for Thresholding and Detection of Facial Information Fro...sipij
 
Digital image processing question bank
Digital image processing question bankDigital image processing question bank
Digital image processing question bankYaseen Albakry
 
Image Quality Feature Based Detection Algorithm for Forgery in Images
Image Quality Feature Based Detection Algorithm for Forgery in Images  Image Quality Feature Based Detection Algorithm for Forgery in Images
Image Quality Feature Based Detection Algorithm for Forgery in Images ijcga
 
QR code decoding and Image Preprocessing
QR code decoding and Image Preprocessing QR code decoding and Image Preprocessing
QR code decoding and Image Preprocessing Hasini Weerathunge
 
Image enhancement lecture
Image enhancement lectureImage enhancement lecture
Image enhancement lectureISRAR HUSSAIN
 
Lect 03 - first portion
Lect 03 - first portionLect 03 - first portion
Lect 03 - first portionMoe Moe Myint
 
Watershed image ansam hadi
Watershed image ansam hadiWatershed image ansam hadi
Watershed image ansam hadiEng Ansam Hadi
 
Image enhancement ppt nal2
Image enhancement ppt nal2Image enhancement ppt nal2
Image enhancement ppt nal2Surabhi Ks
 
3D Face Recognition Method Using 2DPCAEuclidean Distance Classification
3D Face Recognition Method Using 2DPCAEuclidean Distance Classification3D Face Recognition Method Using 2DPCAEuclidean Distance Classification
3D Face Recognition Method Using 2DPCAEuclidean Distance ClassificationIDES Editor
 
Fundamentals of image processing
Fundamentals of image processingFundamentals of image processing
Fundamentals of image processingRoufulAlamBhat1
 
Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...CSCJournals
 
EFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODEC
EFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODECEFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODEC
EFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODECSwisscom
 
IRJET- Effective Demosaicking for Bayer Color Filter Arrays with Direction...
IRJET- 	  Effective Demosaicking for Bayer Color Filter Arrays with Direction...IRJET- 	  Effective Demosaicking for Bayer Color Filter Arrays with Direction...
IRJET- Effective Demosaicking for Bayer Color Filter Arrays with Direction...IRJET Journal
 
Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...
Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...
Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...IRJET Journal
 

Similar to JNTU Hyderabad Image Processing Exam Questions (20)

APPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKING
APPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKINGAPPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKING
APPLYING EDGE INFORMATION IN YCbCr COLOR SPACE ON THE IMAGE WATERMARKING
 
Face detection ppt
Face detection pptFace detection ppt
Face detection ppt
 
127 cj052019
127 cj052019127 cj052019
127 cj052019
 
A Modified Algorithm for Thresholding and Detection of Facial Information Fro...
A Modified Algorithm for Thresholding and Detection of Facial Information Fro...A Modified Algorithm for Thresholding and Detection of Facial Information Fro...
A Modified Algorithm for Thresholding and Detection of Facial Information Fro...
 
Imagee.pptx
Imagee.pptxImagee.pptx
Imagee.pptx
 
Digital image processing question bank
Digital image processing question bankDigital image processing question bank
Digital image processing question bank
 
Image Quality Feature Based Detection Algorithm for Forgery in Images
Image Quality Feature Based Detection Algorithm for Forgery in Images  Image Quality Feature Based Detection Algorithm for Forgery in Images
Image Quality Feature Based Detection Algorithm for Forgery in Images
 
QR code decoding and Image Preprocessing
QR code decoding and Image Preprocessing QR code decoding and Image Preprocessing
QR code decoding and Image Preprocessing
 
Image enhancement lecture
Image enhancement lectureImage enhancement lecture
Image enhancement lecture
 
Lect 03 - first portion
Lect 03 - first portionLect 03 - first portion
Lect 03 - first portion
 
Watershed image ansam hadi
Watershed image ansam hadiWatershed image ansam hadi
Watershed image ansam hadi
 
Image enhancement ppt nal2
Image enhancement ppt nal2Image enhancement ppt nal2
Image enhancement ppt nal2
 
3D Face Recognition Method Using 2DPCAEuclidean Distance Classification
3D Face Recognition Method Using 2DPCAEuclidean Distance Classification3D Face Recognition Method Using 2DPCAEuclidean Distance Classification
3D Face Recognition Method Using 2DPCAEuclidean Distance Classification
 
Image inpainting
Image inpaintingImage inpainting
Image inpainting
 
Fundamentals of image processing
Fundamentals of image processingFundamentals of image processing
Fundamentals of image processing
 
Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...
 
EFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODEC
EFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODECEFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODEC
EFFICIENT STEREO VIDEO ENCODING FOR MOBILE APPLICATIONS USING THE 3D+F CODEC
 
Cj36511514
Cj36511514Cj36511514
Cj36511514
 
IRJET- Effective Demosaicking for Bayer Color Filter Arrays with Direction...
IRJET- 	  Effective Demosaicking for Bayer Color Filter Arrays with Direction...IRJET- 	  Effective Demosaicking for Bayer Color Filter Arrays with Direction...
IRJET- Effective Demosaicking for Bayer Color Filter Arrays with Direction...
 
Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...
Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...
Effective Demosaicking for Bayer Color Filter Arrays with Directional Filteri...
 

Recently uploaded

Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxUnboundStockton
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 

Recently uploaded (20)

Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docx
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 

JNTU Hyderabad Image Processing Exam Questions

  • 1. www.jntuworld.com Code No: 05411205 Set No. 1 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010 IMAGE PROCESSING Objective Exam Name: ______________________________ Hall Ticket No. A Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20. I Choose the correct alternative: 1. Scaling of an image is performed during _________ stage. [ ] a. Image Acquisition b. Image Enhancement c. Morphological Processing d. Image Compression 2. If f(x,y) represents an image, then which of the following is the most suitable option? [ ] a. 0 < f(x,y) < 1 b. 1 < f(x,y) < ∞ c. 0 < f(x,y) < ∞ d. 0 < f(x,y) < 1 3. The equation s = crγ reduces to identity transformation when a. C = 1 b. γ = 0, c = 1 c. C = γ = 1 D d. γ = 0 L [ ] R 4. Which of the following is not a piecewise linear transformation function? [ ] a. Contrast Stretching b. Gray – level slicing c. Bit plane slicing d. Histogram Equalization 5. O The transformation function T(r) is monotonic. What do you infer from this? [ ] I. U W T(r) is single-valued at any point. II. T(r) covers the whole range of values from black to white in the output image III. T(r) is a discrete-valued function. a. Both I and II are true b. Only II is true c. Only I is true d. All three are true. 6. N T The method used to generate a processed image that has a specified histogram is a. Histogram Equalization c. Histogram processing b. Histogram specification d. Histogram linearization [ ] 7. 8. J Mask mode radiography uses which of the following methods? a. Image Subtraction b. Image Averaging c. Spatial Filtering A: Pixels are modified based on the gray-level content of the entire image d. Smoothing [ ] R: The no. of pixels in the smaller areas may have negligible influence on the computation of the global transformation [ ] a. Both A and R are true and R is the correct explanation of A. b. Both A and R are true but R is not the correct explanation of A. c. A is true and R is false. d. A is false and R is true. 9. Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the points P(3,5) and Q(4,7). Then [ ] a. A > B > C b. B > A > C c. A > C > B d. C > A > B 10. Image Restoration involves _______________________ [ ] a. Image Multiplication b. Image Averaging c. Image Subtraction d. Smoothing Cont…2 www.jntuworld.com
  • 2. www.jntuworld.com Code No: 05411205 -2- Set No. 1 II. Fill in the blanks: 11. Digitizing the coordinate values is called __________________. 12. __________________ methods are procedures that operate directly on pixels. 13. The general form of log transformation is _______________________. 14. The process used to correct the power law response phenomena is called _______. 15. In isotropic filters, the response is independent of ______in the image to which the filter is applied. 16. __________________ is used to enhance prominent edges in an image. 17. 18. The standard deviation of Rayliegh Noise is given by ________________. L D ___________________ filter works well for salt noise but fails for pepper noise. 19. 20. Express I in terms of R, G, B. _____________ O R ____________________ consists of assigning colors to gray values based on a specified criterion. U W N T -oOo- J www.jntuworld.com
  • 3. www.jntuworld.com Code No: 05411205 Set No. 2 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010 IMAGE PROCESSING Objective Exam Name: ______________________________ Hall Ticket No. A Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20. I Choose the correct alternative: 1. Which of the following is not a piecewise linear transformation function? [ ] a. Contrast Stretching b. Gray – level slicing c. Bit plane slicing d. Histogram Equalization 2. The transformation function T(r) is monotonic. What do you infer from this? [ ] I. T(r) is single-valued at any point. II. T(r) covers the whole range of values from black to white in the output image 3. III. T(r) is a discrete-valued function. a. Both I and II are true b. Only II is true c. Only I is true L D d. All three are true. The method used to generate a processed image that has a specified histogram is [ ] 4. a. Histogram Equalization c. Histogram processing O R b. Histogram specification d. Histogram linearization Mask mode radiography uses which of the following methods? [ ] 5. U W a. Image Subtraction b. Image Averaging c. Spatial Filtering A: Pixels are modified based on the gray-level content of the entire image d. Smoothing R: The no. of pixels in the smaller areas may have negligible influence on the computation of the T global transformation a. Both A and R are true and R is the correct explanation of A. N b. Both A and R are true but R is not the correct explanation of A. c. A is true and R is false. d. A is false and R is true. [ ] 6. J Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the points P(3,5) and Q(4,7). Then a. A > B > C b. B > A > C c. A > C > B d. C > A > B [ ] 7. Image Restoration involves _______________________ [ ] a. Image Multiplication b. Image Averaging c. Image Subtraction d. Smoothing 8. Scaling of an image is performed during _________ stage. [ ] a. Image Acquisition b. Image Enhancement c. Morphological Processing d. Image Compression 9. If f(x,y) represents an image, then which of the following is the most suitable option? [ ] a. 0 < f(x,y) < 1 b. 1 < f(x,y) < ∞ c. 0 < f(x,y) < ∞ d. 0 < f(x,y) < 1 10. The equation s = crγ reduces to identity transformation when [ ] a. C = 1 b. γ = 0, c = 1 c. C = γ = 1 d. γ = 0 Cont…2 www.jntuworld.com
  • 4. www.jntuworld.com Code No: 05411205 -2- Set No. 2 II. Fill in the blanks: 11. The process used to correct the power law response phenomena is called _______. 12. In isotropic filters, the response is independent of ______in the image to which the filter is applied. 13. __________________ is used to enhance prominent edges in an image. 14. The standard deviation of Rayliegh Noise is given by ________________. 15. ___________________ filter works well for salt noise but fails for pepper noise. 16. ____________________ consists of assigning colors to gray values based on a specified criterion. 17. 18. Express I in terms of R, G, B. _____________ Digitizing the coordinate values is called __________________. L D 19. 20. O R __________________ methods are procedures that operate directly on pixels. The general form of log transformation is _______________________. U W N T -oOo- J www.jntuworld.com
  • 5. www.jntuworld.com Code No: 05411205 Set No. 3 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010 IMAGE PROCESSING Objective Exam Name: ______________________________ Hall Ticket No. A Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20. I Choose the correct alternative: 1. The method used to generate a processed image that has a specified histogram is [ ] a. Histogram Equalization b. Histogram specification c. Histogram processing d. Histogram linearization 2. Mask mode radiography uses which of the following methods? [ ] a. Image Subtraction b. Image Averaging c. Spatial Filtering d. Smoothing 3. global transformation a. Both A and R are true and R is the correct explanation of A. L D A: Pixels are modified based on the gray-level content of the entire image R: The no. of pixels in the smaller areas may have negligible influence on the computation of the [ ] 4. R b. Both A and R are true but R is not the correct explanation of A. c. A is true and R is false. d. A is false and R is true. O Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the 5. points P(3,5) and Q(4,7). Then a. A > B > C b. B > A > C U W c. A > C > B Image Restoration involves _______________________ d. C > A > B [ [ ] ] 6. N T a. Image Multiplication b. Image Averaging c. Image Subtraction Scaling of an image is performed during _________ stage. a. Image Acquisition b. Image Enhancement d. Smoothing [ ] 7. J c. Morphological Processing a. 0 < f(x,y) < 1 d. Image Compression If f(x,y) represents an image, then which of the following is the most suitable option? b. 1 < f(x,y) < ∞ c. 0 < f(x,y) < ∞ [ d. 0 < f(x,y) < 1 ] 8. The equation s = crγ reduces to identity transformation when [ ] a. C = 1 b. γ = 0, c = 1 c. C = γ = 1 d. γ = 0 9. Which of the following is not a piecewise linear transformation function? [ ] a. Contrast Stretching b. Gray – level slicing c. Bit plane slicing d. Histogram Equalization 10. The transformation function T(r) is monotonic. What do you infer from this? [ ] I. T(r) is single-valued at any point. II. T(r) covers the whole range of values from black to white in the output image III. T(r) is a discrete-valued function. a. Both I and II are true b. Only II is true c. Only I is true d. All three are true. Cont…2 www.jntuworld.com
  • 6. www.jntuworld.com Code No: 05411205 -2- Set No. 3 II. Fill in the blanks: 11. __________________ is used to enhance prominent edges in an image. 12. The standard deviation of Rayliegh Noise is given by ________________. 13. ___________________ filter works well for salt noise but fails for pepper noise. 14. ____________________ consists of assigning colors to gray values based on a specified criterion. 15. Express I in terms of R, G, B. _____________ 16. Digitizing the coordinate values is called __________________. 17. 18. The general form of log transformation is _______________________. L D __________________ methods are procedures that operate directly on pixels. 19. 20. O R The process used to correct the power law response phenomena is called _______. In isotropic filters, the response is independent of ______in the image to which the filter is applied. U W N T -oOo- J www.jntuworld.com
  • 7. www.jntuworld.com Code No: 05411205 Set No. 4 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV B.Tech. II Sem., I Mid-Term Examinations, March – 2010 IMAGE PROCESSING Objective Exam Name: ______________________________ Hall Ticket No. A Answer All Questions. All Questions Carry Equal Marks.Time: 20 Min. Marks: 20. I Choose the correct alternative: 1.. A: Pixels are modified based on the gray-level content of the entire image R: The no. of pixels in the smaller areas may have negligible influence on the computation of the global transformation [ ] a. Both A and R are true and R is the correct explanation of A. b. Both A and R are true but R is not the correct explanation of A. c. A is true and R is false. d. A is false and R is true. 2. a. A > B > C b. B > A > C c. A > C > B L D Let A = Euclidian distance, B = City-block distance and C = Chessboard distance between the points P(3,5) and Q(4,7). Then d. C > A > B [ ] 3. 4. Image Restoration involves _______________________ a. Image Multiplication b. Image Averaging O R Scaling of an image is performed during _________ stage. c. Image Subtraction [ ] d. Smoothing [ ] 5. a. Image Acquisition c. Morphological Processing U W b. Image Enhancement d. Image Compression If f(x,y) represents an image, then which of the following is the most suitable option? [ ] 6. a. 0 < f(x,y) < 1 a. C = 1 N T b. 1 < f(x,y) < ∞ b. γ = 0, c = 1 c. 0 < f(x,y) < ∞ The equation s = crγ reduces to identity transformation when c. C = γ = 1 d. γ = 0 d. 0 < f(x,y) < 1 [ ] 7. J Which of the following is not a piecewise linear transformation function? a. Contrast Stretching d. Bit plane slicing b. Gray – level slicing d. Histogram Equalization [ ] 8. The transformation function T(r) is monotonic. What do you infer from this? [ ] I. T(r) is single-valued at any point. II. T(r) covers the whole range of values from black to white in the output image III. T(r) is a discrete-valued function. a. Both I and II are true b. Only II is true c. Only I is true d. All three are true. 9. The method used to generate a processed image that has a specified histogram is [ ] a. Histogram Equalization b. Histogram specification c. Histogram processing d. Histogram linearization 10. Mask mode radiography uses which of the following methods? [ ] a. Image Subtraction b. Image Averaging c. Spatial Filtering d. Smoothing Cont…2 www.jntuworld.com
  • 8. www.jntuworld.com Code No: 05411205 -2- Set No. 4 II. Fill in the blanks: 11. ___________________ filter works well for salt noise but fails for pepper noise. 12. ____________________ consists of assigning colors to gray values based on a specified criterion. 13. Express I in terms of R, G, B. _____________ 14. Digitizing the coordinate values is called __________________. 15. __________________ methods are procedures that operate directly on pixels. 16. The general form of log transformation is _______________________. 17. 18. L D The process used to correct the power law response phenomena is called _______. In isotropic filters, the response is independent of ______in the image to which the filter is applied. 19. 20. O R __________________ is used to enhance prominent edges in an image. The standard deviation of Rayliegh Noise is given by ________________. U W N T -oOo- J www.jntuworld.com