DocumentCode
822841
Title
Highly scalable, low-complexity image coding using zeroblocks of wavelet coefficients
Author
Xie, Gui ; Shen, Hong
Author_Institution
Graduate Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
Volume
15
Issue
6
fYear
2005
fDate
6/1/2005 12:00:00 AM
Firstpage
762
Lastpage
770
Abstract
We propose a new highly scalable wavelet transform-based image coder, called S-SPECK, on the extension of a well-known zero-block image coder SPECK, by achieving not only distortion scalability, resolution scalability, and region of interest (ROI) retrievability, but also excellent compression performance with very low computational complexity. Though new features have been introduced into S-SPECK, our coder is quite competitive with SPECK on compression performance (peak signal-to-noise ratio) and computational complexity (encoding and decoding times) at various bit rates for standard test images. A novel quality layer formatting method is implemented in S-SPECK, which is much simpler and faster than PCRD used in JPEG2000. Extensive experiments have verified all our claims for S-SPECK.
Keywords
block codes; computational complexity; data compression; image coding; image resolution; transform coding; wavelet transforms; computational complexity; distortion scalability; image coding; image compression; quality layer formatting method; region of interest retrievability; resolution scalability; signal-to-noise ratio; wavelet transform; zeroblock; Bit rate; Computational complexity; Decoding; Image coding; Image resolution; Image retrieval; PSNR; Scalability; Signal resolution; Wavelet coefficients; Distortion scalability; S-SPECK; quality layer; region of interest (ROI) retrievability; resolution scalability; wavelet transform; zeroblock;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2005.848311
Filename
1435459
Link To Document