Generalized Extreme Value Filter to Remove Mixed Gaussian-Impulse Noise

Noise removal in image restoration is an important technique of image processing. In this paper, a new efficient approach is proposed for removing the mixed Gaussian-impulse noise in a color image. The proposed method utilizes the concept of local rank ordered absolute distances to measure similarity between a processing pixel in the small window and their neighbor-hood pixels in the processing block. The generalized extreme value distribution was employed to estimate weighted averages of the pixels in the processing block for filtering the mixed Gaussian-impulse noise. From the experimental results, our filter has yielded the better results in suppressing high density levels of the mixed noise in the color images than the state-of-the-art denoising methods.