Digital image processing

Author: Kenneth R. Castleman
Publisher:
Publish Date: 2002-02-01
Features: Digital image processing technology has experienced rapid development in the past two decades. This book systematically and comprehensively introduces the emerging discipline of digital image processing. It emphasizes both the elaboration of fundamental concepts and theories, as well as the practical applications and problem-solving in various fields, striving to integrate theory and practice. The book adopts a combination of theoretical foundations, illustrative examples, mathematical analysis, and professional applications, enabling readers to progressively delve into the world of digital image processing. It is a successful work that combines theory and practice in digital image processing, emphasizing how theoretical knowledge can be applied to solve common practical problems in industrial and scientific research. The book focuses on explaining the fundamental concepts and practical techniques of digital image processing, enabling readers to use these techniques to address various problems encountered in the process. The book consists of 22 chapters, with Chapters 1 to 5 covering digitized images and their display, as well as image processing software; Chapters 6 to 8 teach point, algebraic, and geometric operations; Chapters 9 to 15 cover linear system theory, Fourier transform, discrete image transform, and wavelet transform; Chapters 16 to 20 discuss image restoration, image compression, and pattern recognition; Chapters 21 to 22 focus on color, multispectral image processing, and three-dimensional image processing. This book can serve as a textbook or reference for undergraduate and graduate students, as well as a reference for technical personnel engaged in research and development of digital image processing.