Impulsive Noise Removal Using Interpolation Technique in Color Images

Abstract

An efficient technique for impulsive noise detection and removal for color images is presented in this paper. In order to preserve edge/detail of image, filtering is performed only corrupted pixels. Thus, all noisy pixels must be detected. The pixels detected as noisy are regarded as the missing value. Thus, the interpolation technique can be used for estimating of missing value. In color natural images, all color channels have very similar characteristics such as texture and edge location. In the demosaicking problem of the charge-coupled device (CCD) samples, interpolation of the missing color component is performed using the available another components. We can use the demosaicking methodology to estimating the value of noisy pixels. This paper presents a novel method for restoring impulsive noisy color images, which is constructed by the noise detector and the interpolator based on the demosaicking methodology.