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