Digital Video Image Quality and Perceptual Coding
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AC Coefficient
advanced perceptual coding applications
Alan C. Bovik
Albert Pica
artifact reduction methods
bit
Bit Rate
Block Edges
Category=UGN
Chrominance Components
Coarse Quantization
Color Bleeding
Contrast Sensitivity
Damian M. Tan
Data Set
DC Coefficient
DCT Basis Function
DCT Block
DCT Coefficient
DCT Domain
Deblocking Filter
Dt Cwt
Enhancement Layer
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
error resilience strategies
Ethan D. Montag
experts
Franco Oberti
Francois-Xavier Coudoux
frequency
group
H. R. Wu
Hamid R. Sheikh
High Contrast Edges
Hong Ren Wu
HongRen Wu
human
human vision modeling
image compression techniques
Jae Jeong Hwang
Jeffrey Lubin
Jian Zhang
Jorge E. Caviedes
K.R. Rao
Luminance Adaptation
Makoto Miyahara
Marc G. Gazalet
Mark D. Fairchild
Michael Isnardi
Michael Yuen
Philip Corriveau
rate
Ryoichi Kawada
SK Telecom
spatial
Steerable Pyramid
Stefan Winkler
subjective quality assessment
Tao Chen
transform
Transform Coefficients
Video Coding
video impairment metrics
Video Quality Assessment
visual
VQEG
wavelet
Wavelet Transform
Weisi Lin
Zhenghua Yu
Zhou Wang
Product details
- ISBN 9780824727772
- Weight: 1340g
- Dimensions: 152 x 229mm
- Publication Date: 18 Nov 2005
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
