Application of Markov chains on image enhancement

被引：2
|
作者：
Catak, Muammer [1 ]
机构：
[1] Izmir Univ, Dept Elect & Commun Engn, Izmir, Turkey
来源：
NEURAL COMPUTING & APPLICATIONS | 2014年 / 25卷 / 05期
关键词：
Image enhancement; Markov processes; Stochastic modeling;
D O I：
10.1007/s00521-014-1591-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Stochastic image processing tools have been widely used in digital image processing in order to improve the quality of the images. Markov process is one of the well-known mathematical modeling tools in stochastic theory. In this study, a Markov chain model has been developed and applied to image denoising. The transition probabilities were obtained from Fokker-Planck diffusion equation. According to the results, the proposed Markov chain model supplies very good peak signal to noise ratio values along with low computational cost.
引用
收藏
页码：1119 / 1123
页数：5
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