期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：7
页码：3319-3324
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Image Denoising is one of the most challenging research area in image processing, because image denoising techniques not only poised some technical difficulties, but also may result in the destruction of the image (i.e. making it blur) if not effectively and adequately applied to image. An image enhancement method is proposed by using low rank matrix decomposition and support vector machine. In order to enhance the image, LRMD i.e. Low rank matrix decomposition is applied on image to remove the noises. It describes the problem of finding and exploiting low-dimensional structures in high- dimensional data. The aim of Low Rank Matrix approximation based image enhancement is that it removes the various types of noises in the contaminated image simultaneously. The main contribution is to explore the image denoising low-rank property and the applications of LRMD for enhanced image Denoising, Then support vector machine is applied over the result. This study exhibits a video which is converted into different sizes of frames so that it can be enhanced easily. Then noisy image and enhanced image are compared to obtain higher signal to noise ratio and other parameters like Peak Signal to Noise Ratio, structural similarity index, Mean Square Error for qualitative assessment to the enhancement result.
关键词：De-noising; Low Rank Matrix ; Decomposition (LRMD) and Support Vector ; Machine (SVM)
