Histogram-Steered Image Denoising in the Bayesian Framework

摘要：

Rather than concentrating on modeling the image prior probability whose structure is defined locally,in this paper we incorporate the global information from a histogram into the Bayesian method for image de-noising.The key insight is that the histogram of an underlying image can be approximately recovered from the image with additive noise by a deconvolution operation.We test our algorithm in an image set commonly used for denoising test,and obtain improved results.

作者: Mingsong Dou Chao Zhang Daojing Wang

作者单位: Key Laboratory of Machine Perception Peking University

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）