Feynman-Kac Formula and Restoration of High ISO Images

被引：0
|
作者：
Borkowski, Dariusz [1 ]
Jakubowski, Adam [1 ]
Janczak-Borkowska, Katarzyna [2 ]
机构：
[1] Nicolaus Copernicus Univ, Fac Math & Comp Sci, Chopina 12-18, PL-87100 Torun, Poland
[2] Univ Technol & Life Sci, Inst Math & Phys, PL-85789 Bydgoszcz, Poland
来源：
COMPUTER VISION AND GRAPHICS, ICCVG 2014 | 2014年 / 8671卷
关键词：
DIFFUSION; ALGORITHM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we explore the problem of reconstruction of RGB images with additive Gaussian noise. In order to solve this problem we use Feynman-Kac formula and non local means algorithm. Expressing the problem in stochastic terms allows us to adapt to anisotropic diffusion the concept of similarity patches used in non local means. This novel look on the reconstruction is fruitful, gives encouraging results and can be successfully applied to denoising of high ISO images.
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页码：100 / +
页数：3
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