Generalized Extreme Value Filter to Remove Mixed Gaussian-Impulse Noise

Abstract

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 neighborhood 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.