Adaptive Window Based Efficient Algorithm for Removing Gaussian Noise in Gray Scale and Color Images

In this paper a new efficient algorithm for the removal of Gaussian noise in gray scale and color images using adaptive window is presented. The function of the algorithm is to replace each corrupted pixel by a mean value of the pixels inside an adaptive window. The adaptive window is formed using a threshold calculated form noise variance. The proposed algorithm is simple and it works very effectively in removing Gaussian noise compare with the other techniques. The proposed algorithm is tested for both gray scale and color images corrupted with Gaussian noise. The visual and quantitative results show that the proposed algorithm performs well in removing Gaussian noise and preserve edge details.