The document provides an overview of digital image processing, outlining key components such as image acquisition, storage, processing, display, and transmission. It categorizes images into monochrome, grayscale, and color formats and discusses digital representation through pixels. Additionally, the text highlights various applications, particularly in biometrics, medical fields, and space, along with a breakdown of image processing levels from noise removal to scene understanding.

1. Introduction of Digital
Image Processing

2. What is an image?

3. Basic elements of an image processing
• Image Acquisition (camera)
• Image storage (Frame grabber card)
• Image processing (Algorithms)
• Display (monitor/VGC)
• Transmission (If required)
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4. Image types:
1. Monochrome images (Binary image-single bit)
2. Grey scale images (8bits-3 samples per point)
3. Color image (24-bit-8 samples per point)`
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5. Image format
• BMP
• TIFF
• GIF
• JPEG
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6. Sampling and Quantisation
To digitize the analog images.
Digitization= Sampling +Quantization
Sampling: Convolution in time domain is multiplication
in frequency domain and vice versa.
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7. A digital image is a representation of a two-dimensional image as a finite
set of digital values, called picture elements or pixels. F(x , y)=
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1 pixel
Pixel values typically represent gray levels,
colors, heights, etc. Digitization implies that a
digital image is an approximation of a real
scene

8. The way from Image processing to Computer
vision is from three levels processes
Image Processing
Computer Graphics
Computer Vision
Level 1 Noise removals
Level 2 Object Recognition & Segmentation
Level 3 Scene understanding & automated Navigation
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9. Digital Image Processing System
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression

10. 10
Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression
Digital Image Processing System :
Image Enhancement

11. Digital Image Processing System :
Image Restoration
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression

12. Digital Image Processing System :
Morphological Processing
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Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression
Image
Acquisition

13. Digital Image Processing System :
Segmentation
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Image
Restoration
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression
Morphological
Processing
Segmentation
Image
Acquisition
Segmentation

14. Digital Image Processing System :
Object Recognition
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Image
Enhancement
Problem Domain
Colour Image
Processing
Image
Compression
Representation
& Description
Object
Recognition

15. Digital Image Processing System :
Representation & Description
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression

16. Digital Image Processing System :
Image Compression
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression

17. Digital Image Processing System :
Colour Image Processing
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression

18. Applications of Image processing
1. Biometrics
2. Medical
3. Space
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19. Biometric System
• Biometrics comprises methods for uniquely recognizing humans based upon
one or more intrinsic physical or behavioral traits.
• Physiological are related to the shape of the body.
• Behavioral are related to the behaviour of a person. Examples like Gait,
Voice, Signature and Key Stroke.
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20. Physiological & Behavioral Biometric Traits
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22. Thank you..
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