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Full Description
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.
Contents
PICTURE CODING AND HUMAN VISUAL SYSTEM FUNDAMENTALS. Digital Picture Compression and Coding Structure. Fundamentals of Human Vision and Vision Modeling. Coding Artifacts and Visual Distortions. PICTURE QUALITY ASSESSMENT AND METRICS. Video Quality Testing. Perceptual Video Quality Metrics-A Review. Philosophy of Picture Quality Scale. Structural Similarity Based Image Quality Assessment. Vision Model Based Digital Video Impairment Metrics. Computational Models for Just-Noticeable Difference. No-Reference Quality Metric for Degraded and Enhanced Video. Video Quality Experts Group. PERCEPTUAL CODING AND PROCESSING OF DIGITAL PICTURES. HVS Based Perceptual Video Encoders. Perceptual Image Coding. Foveated Image and Video Coding. Artifact Reduction by Post-Processing in Image Compression. Reduction of Color Bleeding in DCT Block-Coded Video. Error Resilience for Video Coding Service. Critical Issues and Challenges. Appendix: VQM Performance Metrics. Index.
