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Bayesian postprocessing algorithm for DWT-based compressed image
Wen Wei; Xiao Zhiyun; Peng Silong; Wei Wen
2004
Conference Name2004 International Conference on Image Processing ICIP 2004
Pagespp 1811-1814
Conference Date2004/10/18-2004/10/21
Conference PlaceSingaporeSingapore
AbstractThe perceivcd quality of compressed images is severely degraded especially whcn thc bit rate becomes very low. Thc traditional postprocess methods will lose their effect in dealing with the DWT-based compressed image at very low bit rate because they do not consider the blurring effect in quantization proccss. In this papcr we propose a new model for the postprocess by incorporating a blur kernel into it which is used to deblur. Median filter is used to detect and penalizc thc quantization noisc. Under Bayesian analysis MAP estimation is given. Alternate iteration method is proposcd to solve this problem. Numerical experiments show that the subjective perceived quality as wcll as objective evaluation is improved.
Keyword
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12895
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorWei Wen
Recommended Citation
GB/T 7714
Wen Wei,Xiao Zhiyun,Peng Silong,et al. Bayesian postprocessing algorithm for DWT-based compressed image[C],2004:pp 1811-1814.
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