Modern digital image processing

Author: (French) Mathieu
Publisher:
Publish Date: 2006-07-01
Features: This book systematically discusses the basic principles and techniques of modern digital image processing. On one hand, it discusses advanced mathematical theories of modern digital image processing, modern digital signal processing theories, and abstract geometry theories, including two-dimensional signal sampling theory, statistical signal processing methods, wavelet transform theory, fractal methods, partial differential equations, mathematical morphology, Markov field theory, etc. On the other hand, it applies these advanced analytical and processing tools to image restoration, edge detection, region segmentation, texture classification, and feature description. This book is not only a monograph on a cutting-edge discipline but also a textbook used by graduate students in related fields in France in recent years. This book can be used as a graduate textbook and reference book for fields such as signal and image processing, computer science, and remote sensing image processing in colleges and universities, as well as a reference book for senior scientific and technical personnel engaged in related work in these fields. ... This book systematically discusses the basic principles and techniques of modern digital image processing. On one hand, it discusses advanced mathematical theories of modern digital image processing; on the other hand, it applies these advanced analytical and processing tools to image restoration, edge detection, region segmentation, texture classification, and feature description.