DocumentCode :
3421052
Title :
A fast and low complexity image codec based on backward coding of wavelet trees
Author :
Guo, Jiangling ; Mitra, Sunanda ; Nutter, Brian ; Karp, Tanja
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Tech. Univ., Lubbock, TX, USA
fYear :
2006
fDate :
28-30 March 2006
Firstpage :
292
Lastpage :
301
Abstract :
A new approach of backward coding of wavelet trees (BCWT) is presented. Contrary to the common "forward" coding of wavelet trees from the highest level (lowest resolution), the new approach starts coding from the lowest level and goes backward by building a map of maximum quantization levels of descendants. BCWT eliminates several major bottlenecks of existing wavelet-tree-based codecs, namely tree-scanning, bitplane coding and dynamic lists management. Compared to SPIHT, BCWT encodes and decodes up to eight times faster without sacrificing PSNR. At the same time, BCWT provides desirable features such as low complexity, low memory usage, and resolution scalability.
Keywords :
codecs; image coding; image resolution; quantisation (signal); tree codes; wavelet transforms; PSNR; backward coding; bitplane coding; dynamic lists management; forward coding; image codec; maximum quantization levels; tree-scanning; wavelet trees; wavelet-tree-based codecs; Codecs; Computational efficiency; Computer vision; Decoding; Image analysis; Image coding; PSNR; Quantization; Scalability; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2006. DCC 2006. Proceedings
ISSN :
1068-0314
Print_ISBN :
0-7695-2545-8
Type :
conf
DOI :
10.1109/DCC.2006.2
Filename :
1607264
Link To Document :
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