Digital Video Image Quality and Perceptual Coding

The hand is quicker than the eye. In many cases so is digital video. Maintaining image quality in bandwidth- and memory-restricted environments is quickly becoming a reality as thriving research delves ever deeper into perceptual coding techniques which discard superfluous data that humans cannot process or detect. Surveying the topic from a Human Visual System (HVS)-based approach Digital Video Image Quality and Perceptual Coding outlines the principles metrics and standards associated with perceptual coding as well as the latest techniques and applications. This book is divided broadly into three parts. First it introduces the fundamental theory concepts principles and techniques underlying the field such as the basics of compression HVS modeling and coding artifacts associated with current well-known techniques. The next section focuses on picture quality assessment criteria; subjective and objective methods and metrics including vision model based digital video impairment metrics; testing procedures; and international standards regarding image quality. Finally practical applications come into focus including digital image and video coder designs based on the HVS as well as post-filtering restoration error correction and concealment techniques. The permeation of digital images and video throughout the world cannot be understated. Nor can the importance of preserving quality while using minimal storage space and Digital Video Image Quality and Perceptual Coding provides the tools necessary to accomplish this goal. Instructors and lecturers wishing to make use of this work as a textbook can download a presentation of 786 slides in PDF format organized to augment the text. accompany our book(H. R. Wu and K. R. Rao Digital Video Image Quality and Perceptual Coding CRC Press (ISBN: 0-8247-2777-0) Nov. 2005)for lecturers or instructor to use for their classes if they use the book. Language: English