文章基本信息

标题：単一画像からのノイズ推定手法の評価と改善
本地全文：下载
作者：上村健二 ; 伊東ひとみ ; 津村徳道等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2009
卷号：63
期号：1
页码：101-104
DOI：10.3169/itej.63.101
出版社：The Institute of Image Information and Television Engineers
摘要：Estimating the noise level of a digital image is important for many applications such as noise removal, image quality assessment, and so on. For practical use in these applications, the estimation method should be achieved from a single image. Ce et al. developed a single image noise estimation method. In their method, a priori information of noise characteristics was generated by the computer simulation and used in Bayesian MAP. However, they did not consider the inherent characteristics of each camera, depressing the estimation accuracy. Therefore, in this paper, we take into account the inherent characteristics of a camera by using camera specific a priori in Bayesian MAP. Camera specific a priori is constructed from preliminarily measurements of the camera instead of a computer simulation. The experimental results show the improved accuracy of noise estimation.
关键词：ノイズ推定;ディジタル画像;Bayesian MAP手法;事前情報;単一画像