Digital Image Processing (Second Edition)

Author: Gonzalez
Publisher:
Publication Date: 2005-03-01
Features: This book is a new work in the field of digital image processing, serving as a significant revision and expansion of the original "Digital Image Processing (th Edition) published in 1977. Compared to the previous edition, it includes new chapters on wavelet transforms, image morphology, and color image processing, along with over 500 new images and more than 200 figures. It is one of the most authoritative textbooks in this field over the past two decades. The book is divided into 12 chapters, starting with an introduction to digital image fundamentals, image enhancement in the spatial and frequency domains, followed by discussions on image restoration, color image processing, wavelet transforms, multi-resolution processing, and image compression. It concludes with topics such as morphological image processing, image segmentation, representation and description, and object recognition. This book focuses on introducing the fundamental concepts and methods of digital image processing, laying a solid foundation for further learning and research in the field. The book is clear in concept, easy to understand, rich in visuals, and reflects the latest developments in digital image processing over the past decade. This book is primarily intended for university professors, scientists and engineers, graduate students, senior undergraduate students, and engineering technicians in fields such as signal and information processing, computer science and technology, automation, electronic science and technology, communication engineering, geophysics, bioengineering, physics, chemistry, medicine, and remote sensing. This book is a new work in the field of digital image information processing, serving as a significant revision and expansion of the "Digital Image Processing (th Edition) by Dr. Gonzalez and others, published in 1977. Compared to the previous edition, it includes new chapters on wavelet transforms, image morphology, and color image processing, along with over 500 new images and more than 200 figures. It is one of the most authoritative textbooks in this field over the past two decades. The book is divided into 12 chapters, starting with an introduction to digital image fundamentals, image enhancement in the spatial and frequency domains, followed by discussions on image restoration, color image processing, wavelet transforms, multi-resolution processing, and image compression. It concludes with topics such as morphological image processing, image segmentation, representation and description, and object recognition. This book focuses on introducing the fundamental concepts and methods of digital image processing, laying a solid foundation for further learning and research in the field. The book is clear in concept, easy to understand, rich in visuals, and reflects the latest developments in digital image processing over the past decade.