Image Coding Fundamentals (3rd Edition)

Author: Yao Qingdong et al.
Publisher:
Publish Date: 2006-01-01
Features: This book systematically introduces the fundamental theories of image coding, including vision and image quality, statistical properties of images, interpolation and motion parameter estimation, two-dimensional linear transformations, predictive coding methods, vector quantization coding, information-preserving coding, and rate-distortion theory. It also explores new research findings and development directions in the field of image coding, such as fractal coding methods and content-based image coding. Since image coding standards have driven the application of image coding technologies, this book elaborates on the standards and advancements in image coding. Additionally, it covers new technologies and methods in image coding applications, such as streaming media, stereoscopic image coding, and information and error concealment. This book is suitable as a graduate textbook and an elective course textbook for senior undergraduate students, as well as a reference for researchers in related fields.