Peer Group and Hybrid Vector Filter for Removal of Impulse Noise in Color Images

Abstract

In this paper, we propose a peer group and hybrid vector filter for removal of impulse noise in color images. The proposed filter employs two rounds of noise detections and the image restoration. Through the processing of the proposed filter, the noises in images can be efficiently removed, but preserving the edge. When the density of the random-value impulse noise is equal to 10%, the peak signal-to-noise ratio (PSNR) is 31 dB. Although the PSNR of the restoration result is not as expected when the noise density is more than 70%, it can be still recognizable by humans compared with other existing filters. Obviously, the proposed filter can effectively remove impulse noises and preserve the edge of the image.