CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Bayesian iterative postprocessing algorithm for DWT-based compressed image
Wen, Wei; Wang, Xuelin; Peng, Silong,; Wen Wei
Source PublicationJisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
2005
Volume17Issue:(9)Pages:2015-2021
AbstractIn 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.
KeywordCompressed Image Postprocessing / bayesian / convolution / iteration / maximum a Posteriori
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12998
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorWen Wei
Recommended Citation
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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