Digital image information processing

Author: Le Zhongxin
Publisher:
Publish Date: 2003-01-01
Features: This book is a work on mathematical image information processing, with novel content. Through practical examples, it demonstrates difficult theoretical issues, allowing readers to grasp their essence while also applying them to research and work. The book effectively breaks through the traditional framework of image processing, not only integrating techniques such as multispectral estimation, wavelet transform, and neural networks but also incorporating functional theory into the concept of image processing. The book is divided into three parts and 12 chapters. Chapters 1 to 6 form Part I: Processing Fundamentals and Methods. Chapters 7 to 9 form Part II: Accumulated Domain Processing, Wavelet Transform, and Motion Estimation. Chapters 10 to 12 form Part III: Restoration, Registration, and Classification. Target Audience: University professors, graduate students, senior students, researchers, and engineering technicians in fields such as signal and image processing and computer applications.