DocumentCode :
1975546
Title :
An Efficient 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
fYear :
0
fDate :
0-0 0
Firstpage :
233
Lastpage :
237
Abstract :
Backward coding of wavelet trees (BCWT) is a new approach for encoding images in the wavelet domain. This 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. It also encodes and decodes up to eight times faster than SPIHT without sacrificing PSNR and provides desirable features such as low complexity and low memory usage
Keywords :
codecs; image coding; tree codes; wavelet transforms; PSNR; SPIHT; backward coding; bitplane coding; dynamic lists management; efficient image codec; image coding; low complexity; low memory usage; maximum quantization levels; tree-scanning; wavelet trees; Codecs; Computer vision; Decoding; Image analysis; Image coding; PSNR; Quantization; Wavelet analysis; Wavelet coefficients; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 2006 IEEE Southwest Symposium on
Conference_Location :
Denver, CO
Print_ISBN :
1-4244-0069-4
Type :
conf
DOI :
10.1109/SSIAI.2006.1633757
Filename :
1633757
Link To Document :
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