Salt-and-pepper noise filtering algorithm based on similarity function in GF(2~8)
Sun Guang-ming · Computer Engineering and Applications Journal · 2010
In order to eliminate salt-and-pepper noise that exists in the digital image collection and processing,an improved fil tering algorithm with accurate noise pixels detection in GF(2)8 finite field is presented.According to the correlativity of adjacent pixels this paper proposes the pixel similarity function in GF(28) field.Based on it,image salt-and-pepper noise self-adaptive detector is given.It can detect noise accurately.And then the digital image salt-and-pepper noise self-adaptive filtering is completed combined with median filtering.Simulation results show that this algorithm is accurate on noise detection.And this algorithm is better than other algorithms at filtering salt and pepper noise and preserving the detail of image.And the restoring effect of image is good under high noisy rate.