Image Histogram: Unveiling Visual Insights, Exploring the Depths of Image Histograms in Computer Vision

An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.

How you will benefit

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

Chapter 1: Image histogram

Chapter 2: Histogram

Chapter 3: Color histogram

Chapter 4: Thresholding (image processing)

Chapter 5: Histogram equalization

Chapter 6: Adaptive histogram equalization

Chapter 7: Histogram matching

Chapter 8: Tone mapping

Chapter 9: Error diffusion

Chapter 10: Graph cuts in computer vision

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

(III) Real world examples for the usage of image histogram 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 Image Histogram.