A REVIEW PAPER ON IMAGE DENOISING BY LOW RANK MATRIX DECOMPOSITION ANDGENETIC ALGORITHM

A great challenge in the field of image processing nowadays is image denoising. Although, there have beenproposed various methods and algorithms for the same, but,most of them have not attained the desirable results. Theperformance does not match with the assumed one.In the field of image denoising, nonlocal image denoising algorithm is a nonlinear, space average denoising algorithm, it will not cause boundary blurred, and it is an effective denoising algorithm. But its application still has limitations because of it taking much longer time, in this paper, the method was improved, image signal can be divided into high frequency and low frequency part using low rank matrix decomposition, nonlocal denoising algorithm is used in low-frequency approximate signal, for high frequency detail signals using wavelet filtering method for denoising. Then, noise and aliasing artifacts are removed from the structured matrix by applying low rank matrix decomposition method with Genetic Algorithm(GA). We use Genetic Algorithm for unwanted features reduction from the high and low frequency signals. The Denoising of image is implemented using Image Processing Toolbox. This work test and found suitable for its purpose.For the implementation of this proposed work we use the Matlabsoftware