文章基本信息

标题：画像確率モデルに基づく非一様劣化画像のパラメータ推定と復元
本地全文：下载
作者：藤田和弘 ; 長谷川光 ; 吉田靖夫等
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：2001
卷号：55
期号：6
页码：878-885
DOI：10.3169/itej.55.878
出版社：The Institute of Image Information and Television Engineers
摘要：A method is described for estimating the parameters of non-uniformly blurred images and restoring them. An original image is represented by a noncausal stochastic image model, which is driven by white noise. The blur process is modeled using a space-variant linear system. The parameters of the blurred image are estimated by maximizing a function that is the product of the local loglikelihood function of every pixel. A restoring filter on sliding window is applied to every pixel. Testing of the proposed method on simulated images and an actual non-uniformly blurred image showed that it can estimate the radius of out-of-focus blur and restore blurred images.
关键词：非一様劣化画像;画像確率モデル;焦点ずれ;最尤推定