Bayesian iterative postprocessing algorithm for DWT-based compressed image
Wen, Wei; Wang, Xuelin; Peng, Silong,; Wen Wei
2005
发表期刊Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
卷号17期号:(9)页码:2015-2021
摘要In this paper, a new postprocessing method based on Bayesian theory is proposed to alleviate the blurring effect and remove the ringing effect of a compressed image. Different from traditional method, blurring effect is considered especially at low bit-rate. The compression is equivalent to the blurring processing followed by adding bias, based on which the new postprocessing model is established. An iterative solution is proposed after proper simplification and the parameter selection is discussed. At last, lots of numerical experiments are performed, and the results show that both the subjective perceived quality and the objective evaluation are improved.
关键词Compressed Image Postprocessing / bayesian / convolution / iteration / maximum a Posteriori
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12998
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Wen Wei
推荐引用方式
GB/T 7714
Wen, Wei,Wang, Xuelin,Peng, Silong,,et al. Bayesian iterative postprocessing algorithm for DWT-based compressed image[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2005,17((9)):2015-2021.
APA Wen, Wei,Wang, Xuelin,Peng, Silong,,&Wen Wei.(2005).Bayesian iterative postprocessing algorithm for DWT-based compressed image.Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,17((9)),2015-2021.
MLA Wen, Wei,et al."Bayesian iterative postprocessing algorithm for DWT-based compressed image".Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 17.(9)(2005):2015-2021.
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