Digital Video Image Quality and Perceptual Coding (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 640
• Erscheinungstermin: 19. Dezember 2017
• Englisch
• ISBN-13: 9781351836821
• Artikelnr.: 50530398

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.