Please use this identifier to cite or link to this item:
|Title:||A new bit-plane entropy coder for scalable image coding||Authors:||Zhang, R.
|Issue Date:||2005||Citation:||Zhang, R.,Yu, R.,Sun, Q.,Wong, W.-C. (2005). A new bit-plane entropy coder for scalable image coding. IEEE International Conference on Multimedia and Expo, ICME 2005 2005 : 237-240. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2005.1521404||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 instead a reduction by using a static arithmetic coder which avoids complicated adaptive procedure. © 2005 IEEE.||Source Title:||IEEE International Conference on Multimedia and Expo, ICME 2005||URI:||http://scholarbank.nus.edu.sg/handle/10635/51089||ISBN:||0780393325||DOI:||10.1109/ICME.2005.1521404|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 19, 2019
checked on Sep 9, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.