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  • 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
  • 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
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