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2005 IEEE International Conference on Multimedia and Expo
A New Bit-Plane Entropy Coder for Scalable Image Coding
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
null Rong Zhang, 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
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.
Citation:
null Rong Zhang, null Rongshan Yu, null Qibin Sun, null Wai-Choong Wong, "A New Bit-Plane Entropy Coder for Scalable Image Coding," icme, pp.237-240, 2005 IEEE International Conference on Multimedia and Expo, 2005
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