Abstract: In this paper proposed blotches and impulse removal in color scale images using nonlinear decision based algorithm. The implementation of this algorithm can be obtained by two stages. In first stage the pixel are detected as corrupted / uncorrupted using decision rules. In second stage estimate the new pixel value for corrupted pixels. The algorithm used as a adaptive length window whose maximum size is 5X5 to avoid blurring due to large window sizes. The mean filtering is automatically switched in this proposed algorithm. It also tests the different images. To analyze the performance of this algorithm as mean square error, peak signal to noise ratio, computation time and image enhancement factor compare to other algorithm. The noise level is effectively removal without any loss it produces the better result in quantitative and qualitative measures of the image and also provides better performance.