Digital Video Image Quality and Perceptual Coding

Herausgeber: Wu, H R; Rao, K R

• Gebundenes Buch

Produktbeschreibung

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.

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This book addresses the issue of human visual system (HVS)-based perceptual quantitative quality metrics for digitally coded image and video as well as the issue of perceptual image and video coding. Introducing basic techniques, the text presents standard and popular coding structures, gives a classification and analysis of various coding artifacts, and provides performance measures. It further discusses subjective assessment methods, quantitative quality metrics, and test criteria. There is additional coverage on HVS-based digital image and video coder designs. The authors also highlight challenges facing future research. Instructors wishing to use this work as a textbook can download a presentation of 786 slides in PDF format.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 636
• Erscheinungstermin: 18. November 2005
• Englisch
• Abmessung: 236mm x 174mm x 39mm
• Gewicht: 966g
• ISBN-13: 9780824727772
• ISBN-10: 0824727770
• Artikelnr.: 22396029

Autorenporträt

Wu, H.R.; Rao, K.R.

Inhaltsangabe

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.