A Note of Restoration of corrupted image with variant variance of noise

Abstract

This paper proposes a restoration method of images of which areas are contaminated by different variances of noises. When an image is restored by the Kalman filter algorithm, an image model and parameters (i.e. a noise variance, and a variance of the original image) are used. Therefore, when some areas of the image are contaminated by noises with different variances, the Kalmu filter algorithm cannot restore accurately. The proposed method can estimate the noise variances in the areas of the image by using region segmentation results, and restore it more accurately than the previous Kalman filter algorithm does.