Image Processing is a technique to process image with various techniques

1. By
Deepan Raj I
Ajith Kumar V

2.  Manipulation and Analysis of Two Dimensional
Pictures
 Technique to enhance Raw images taken from
normal day-to-day life for various applications

3.  Analog Image processing
Alteration of Image through Electrical means
Ex: Television image
 Digital Image processing
Processing of Two Dimensional picture by a Digital
computer
Ex: Digital computers

4. Advantages of Digital Image
Processing :
Versatility
Repeatability
Preservation of original data precision

5. Various Image Processing Techniques
• Image analysis
• Image preprocessing
• Image enhancement
• Image data compression
• Image restoration

6.  Extraction of meaningful information
from an image
 Provides the description of image
 Done by reading the bar coded tags

7. Magnification
Reduction
Mosaic

8.  Improve scale of display for visual understanding
 Magnify image by a factor of 2, each pixel is replaced
by a block 2x2 pixels

9.  mth row and mth column of the imagery is selected
and is displayed
 Another way is by taking mxm block and display the
averages after proper rounding
1x
0.33x

10.  Combining two or more image to form single large
image
 To get the synoptic view

11. Image 1
Image Mosaic
Image 2

12. Contrast Stretching
Noise Filtering
Edge Enhancement

13.  Images are homogeneous due to incorrect lighting of
the scene
 Different stretching techniques are developed to
stretch the image

14. Before
After

15.  Filters unnecessary information
 It is interactive
 Various filters are low pass, high pass, mean, median
etc.,

16. Before
After

17.  Done by redefining the edges of the image
Before
After

18.  Lossy compression
lossy compression is a data encoding method
which discards (loses) some of the data, in order to
achieve its goal
 Lossless compression
Lossless data compression is a class of data
compression algorithms that allows the exact original
data to be reconstructed from the compressed data

19.  Image restoration refers to removal or minimization of
degradations in an image.

20. Medical Field (CT,MRI)
Astronomy(Telescopes)

21. Software(Photoshop)
Printing(Color)

22. Security and Digital Rights Management(Water
marking, biometrics)

23. One picture is worth more than 1000 words