文章基本信息

标题：画像確率モデルに基づく焦点ずれ劣化JPEG画像の鮮明化
本地全文：下载
作者：門野浩二 ; 藤田和弘 ; 中森伸行等
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：2010
卷号：64
期号：11
页码：1663-1670
DOI：10.3169/itej.64.1663
出版社：The Institute of Image Information and Television Engineers
摘要：The out-of-focus blurred JPEG images are degraded by being out-of-focus as well as blocking artifacts and mosquito noise caused by quantization on block DCT domain. The purpose of this paper is to sharpen out-of-focus JPEG images without enhancing the blocking artifacts and the mosquito noise. This proposed method is based on the edge-adaptive restoration method: the regularizing operator depends on the edge orientation, and the regularizing parameter depends on the local activity. The variance of the quantization on block DCT domain is taken into consideration.
关键词：焦点ずれ;JPEG;ブロッキング・アーティファクト;モスキート・ノイズ;画像鮮明化