Resourceful method to remove mixed Gaussian-Impulse noise in color images

It is a challenging task to suppress mixed noise in a color image. Simple fuzzy method could reduce the mixed Gaussian-Impulse noise with preservable edge and detail of image; however, the method provides some drawbacks and led to inappropriate outputs. This paper proposed a resourceful method to remove the mixed Gaussian-Impulse noise by designing the sequential cases to estimate the optimal weights in small window for filtering the noise signals. The sequential cases consisted of impulse detection, fuzzy system for initial weights, improving the weights and optimizing the weights, and finally the output pixels estimated by either alpha trimmed mean or convex hull techniques. As depicted in the experimental results, the proposed algorithm provided the best solutions when comparison with the vector median filter and the simple fuzzy method.