Computer image processing technology and algorithms

Author: Chen Chun
Publisher:
Publish Date: 2003-07-01
Features: This book is based on decades of development achievements in the field of digital image processing, including traditional grayscale image processing and new color image processing content. It is written with years of experience in digital, research, and practical applications. The book comprehensively introduces the theoretical system of digital image processing while emphasizing its practical value. It first introduces fundamental theoretical knowledge such as implicit Markov models, predictive models, sampling theory, and image transformations. Then, it covers topics such as image coding and file formats, image enhancement, restoration, and segmentation in successive chapters. The last two chapters introduce the basic content of color image processing and content-based image retrieval technology. This book can serve as a textbook for senior undergraduate and graduate students in computer science, biomedical engineering, and related image processing disciplines, or as a reference for researchers working in the field of image processing.