文章基本信息

标题：Image Decomposition and Restoration for Blurred Images Using Filtering Techniques
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作者：A.Deepika ; K.Raja Sundari ; R.Ravi 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：3
页码：631-635
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In Image processing, image decomposition and restoration for blurred images are the significant challenges. Using bilateral filter, image is decomposed into two meaningful components. One is the cartoon component which is often called as geometrical part or sketchy approximation. Other is the texture component which is often called as oscillating part or small scale special pattern. Image restoration for blurred images with or without missing pixels can be performed using median filter and conservative filter. Median filter is a non-linear digital filter which is often used to remove noise. It preserves the edges while removing noise. Conservative filter is also a non-linear smoothing filter. It ensures that the value of the output pixel is within the bounds of its neighbours. Using these filters, degraded mages can be restored successfully. Thus, these filters are good in the image decomposition and restoration concepts.
关键词：Decomposition; restoration; bilateral filter; ; median filter; conservative filter