Robust Image Denoising using Total Variation and Unsharp Masking

Evolution of imaging devices has changed the world to see it from personal perspective. Camera is in every hand around the world and the capturing the every moment of life and places they visit. This ease increased the expectation for quality of images should be captured in each and every situation. In this row image denoising algorithms and techniques are being adopted to make noises reduced in the picture captures in dusty or in noisy environment. In this paper a robust image denoising algorithm is proposed to reduce the effect of gaussian noise. The proposed algorithm utilizes the Total Variation (TV) method and improvement in algorithm is further achieved by using Unsharp masking (USM). The results show that it will give better than the previous techniques.