DocumentCode :
2235068
Title :
A New Bit-Plane Entropy Coder for Scalable Image Coding
Author :
Zhang, Rong ; Yu, Rongshan ; Sun, Qibin ; Wong, Wai-Choong
Author_Institution :
Institute for Infocomm Research, A* STAR, Singapore, 119613; Dept. of Electrical and Computer Engineering, National Univ. of Singapore, 117576, stuzr@i2r.a-star.edu.sg
fYear :
2005
fDate :
6-8 July 2005
Firstpage :
237
Lastpage :
240
Abstract :
Compression ratio and computational complexity are two major factors for a successful image coder. By exploring the Laplacian distribution of the wavelet coefficients, a new bit plane entropy coder is proposed in this paper. Compared with the state-of-the-art JPEG2000 entropy coder (EBCOT), the proposed coder achieves a 0.75% better loss less performance for 5 level 5/3 wavelet decomposition at block size 64 £ 64 and 2.56% at block size 16 £ 16. Experimental results also show PSNR improvements of about 0.13dB at 1bpp and 0.25dB at 2bpp on average for lossy compression. However, the gain in coding performance is not based on increasing computational complexity but in stead a reduction by using a static arithmetic coder which avoids complicated adaptive procedure.
Keywords :
Arithmetic; Computational complexity; Entropy; Image coding; Laplace equations; PSNR; Performance gain; Performance loss; Transform coding; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521404
Filename :
1521404
Link To Document :
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