Histogram Equalization: Enhancing Image Contrast for Enhanced Visual Perception

Β· Computer Vision αžŸαŸ€αžœαž—αŸ…αž‘αžΈ 7 Β· One Billion Knowledgeable
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What is Histogram Equalization

Histogram equalization is a method in image processing of contrast adjustment using the image's histogram.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Histogram Equalization


Chapter 2: Cumulative Distribution Function


Chapter 3: Histogram


Chapter 4: Random Variable


Chapter 5: Order Statistic


Chapter 6: HSL and HSV


Chapter 7: Color Histogram


Chapter 8: Continuous Uniform Distribution


Chapter 9: Optical Resolution


Chapter 10: Empirical Distribution Function


(II) Answering the public top questions about histogram equalization.


(III) Real world examples for the usage of histogram equalization in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Histogram Equalization.

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