Title :
A wavelet coding preprocessing algorithm based on Bayesian estimation for image compression
Author :
Jiang, Yun-Xiao ; Zhong, Zi-Fa ; Wang, Lun-Wen
Author_Institution :
Inst. of Electron. Eng., Hefei, China
Abstract :
This paper presents a wavelet coding preprocessing algorithm which adopts threshold values based on Bayesian estimation for image compression. The proposed algorithm considers a modification to the quantization stage of set partioning in hierarchical trees (SPIHT) (Said and Pearman, 1996), which achieves better peak signal to noise ratio (PSNR) and visual quality performance than existing embedded wavelet coders and JPEG. The performance of the proposed algorithm is demonstrated with extensive experimental results.
Keywords :
Bayes methods; image coding; trees (mathematics); vector quantisation; wavelet transforms; Bayesian estimation; hierarchical trees; image compression; quantization; set partioning; signal to noise ratio; threshold value; visual quality; wavelet coding preprocessing; Bayesian methods; Codes; Frequency; Image coding; PSNR; Quantization; Signal processing algorithms; Transform coding; Wavelet coefficients; Wavelet transforms; Bayesian estimation; Wavelet coding; image compression;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527910
