文章基本信息

标题：An Enhanced Cellular Automata based Scheme for Noise Filtering
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作者：Anand Prakash Shukla ; Suneeta Agarwal
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：4
页码：231-242
DOI：10.14257/ijsip.2014.7.4.23
出版社：SERSC
摘要：Cellular Automata is a computational model used to describe the complex system through simple rules. It has been significantly applied to image processing operations. It appear as a natural tool for image processing because of the simplicity of mapping a digital image to a cellular automata and the ability of applying different image processing operations in real time. Noise filtering is considered to be an important operation of image processing. In this paper cellular automata based noise filter has been proposed for different levels of noise. The filter is also compared with some standard filters in terms of peak signal to noise ratio and structured symmetry index measure and it is found that the proposed model shows consistently better performance in terms of both the parameter.
关键词：Cellular automata; Noise filter; Gaussian noise; Salt & pepper noise; Moore ; Neighborhood; PSNR; MSSIM