Digital Image Processing and Applications

Author: Liu He
Publisher:
Publish Date: 2006-01-01
Features: Comprehensive and Up-to-Date – It introduces everything from image formation to digital image processing systems, as well as the fundamental theories, methods, and techniques of digital image processing, while also adding introductions to new theories, methods, and technologies. Highly Practical – It provides detailed explanations of essential application-related issues, such as TV signal, video signal sampling, and image sampling standards. Combines Theory and Practice – It includes Matlab programs for image processing, enabling readers to apply the theoretical knowledge they've learned through simple Matlab programs, greatly enhancing their learning interest. Inspires Application Ideas – By introducing typical applications of digital image processing, it inspires readers' application creativity, serving as a springboard for further exploration. This book systematically covers the fundamental properties, methods, related technologies, and some typical applications of digital image processing. The book is divided into 11 chapters. Chapters 1-4 introduce the research objects, content, and system composition of digital image processing. Chapters 5-10 cover related theories, methods, and techniques of image transformation, image enhancement and smoothing, and image restoration. The first