DocumentCode
294740
Title
Subband image coding with jointly optimized quantizers
Author
Kossentini, Faouzi ; Chung, Wilson C. ; Smith, Mark J T
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
4
fYear
1995
fDate
9-12 May 1995
Firstpage
2221
Abstract
An iterative design algorithm for the joint design of complexity and entropy-constrained subband quantizers and associated entropy coders is proposed. Unlike conventional subband design algorithms, the proposed algorithm does not require the use of various bit allocation algorithms. Multistage residual quantizers are employed because they provide greater control of the complexity-performance tradeoffs, and also because they allow efficient and effective high-order statistical modeling. The resulting subband coder exploits statistical dependencies within subbands, across subbands, and across stages, mainly through complexity-constrained high-order entropy coding. Experimental results demonstrate that the complexity-rate-distortion performance of the new subband coder is exceptional
Keywords
computational complexity; entropy codes; image coding; iterative methods; optimisation; rate distortion theory; complexity-constrained high-order entropy coding; complexity-constrained subband quantizers; complexity-performance tradeoff; complexity-rate-distortion performance; entropy coders; entropy-constrained subband quantizers; iterative design algorithm; jointly optimized quantizers; multistage residual quantizers; statistical dependencies; statistical modeling; subband coder; subband image coding; Algorithm design and analysis; Bit rate; Design engineering; Encoding; Entropy coding; Image coding; Iterative algorithms; Lagrangian functions; Process design; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479918
Filename
479918
Link To Document