The document discusses histograms and histogram processing for image enhancement. It covers the objectives of the session which are to define what a histogram is, describe various image enhancement methods including spatial-frequency domain enhancement methods, point operations, histogram operations, and spatial operations. It also discusses uses of histogram processing for image enhancements, obtaining image statistics, image compression, and image segmentation. A key part of the document is the section on histogram equalization, which explains that it is a process that increases image contrast by spreading the histogram to be uniformly distributed, increasing the dynamic range and contrast of images with low contrast.

1. Prof. Neeraj Bhargava
Pramod Singh Rathore
Department of Computer Science
School of Engineering & System Sciences,
MDS University Ajmer, Rajasthan, India
1Histogram processing

2. Session Objectives
 What is Histrogram?
 Image enhancement methods:
 Spatial-Frequency domain enhancement methods
 Point operations
 Histogram operations
 Spatial operations
 Transform operations
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3. Histogram Processing
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4. Uses
Image Enhancements
Image statistics
Image compression
Image segmentation
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5. Cntd
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6. HISTOGRAM EQUALIZATION
 Histogram Equalization is a process for increasing the contrast in an image
by spreading the histogram out to be approximately uniformly distributed
 The gray levels of an image that has been subjected to histogram
equalization are spread out and always reach white. The increase of dynamic
range produces an image increase in contrast
 For images with low contrast., histogram equalization has the adverse effect
of increasing visual graininess
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7. Contd
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8. Contd
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9. Assignment 1
 Explain image enhancement in spatial domain?
 What are the benefits of image enhancement?
 What do you mean by DIP ?
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10. Queries ????
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