Histogram Equalization

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Histogram Equalization

Author: Fouad Sabry
language: en
Publisher: One Billion Knowledgeable
Release Date: 2024-04-28
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.
Digital Image Processing

Author: Wilhelm Burger
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-01-19
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Digital Image Processing

A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.