Research on Algorithm for Impulse Noise Cancellation from Images
Yanqiu Wang · Transactions of Shenyang Ligong University · 2009
In this paper,a novel efficient algorithm is proposed,to improve the quality of the image removable noise,which can remove impulse noise from images.It uses a fuzzy impulse detection technique to combine rank-ordered absolute differences(ROAD) statistics with a binary value function to create a fuzzy impulse noise detector.The restored pixel value is a linear combination of original pixel value,pixel median value and pixel noise doubt modality.It requires no previous training,which removes impulse noise from corrupted images via two steps of impulse noise detection and impulse noise cancellation.Experimental results show that the approach is better than other algorithms for image noise removal on peak signal-to-noise ratio(PSNR) and vision.