The fuzzy image enhancement algorithm for iow SNR image
Kong Xiang-wei · Jiguang zazhi · 2007
Based on the traditional machine visual methods,the enhancement results of low SNR image are easily affected by the noise.In this paper,a novel fuzzy enhancement algorithm is proposed based on the maximum fuzzy entropy principle.For the diverse complicated images,the algorithm has advantage of adjusting the enhancement strength automatically and computing fast.Searching the best band-width parameters of the membership function to meet the maximum entropy principle automatically is the key procedure to implement the algorithm.Namely,the real coding-based off-spring chromosomes are created by the Gaussian crossover and mutation operator from the hyperplane formed by the parent ones.And the crossover and mutation rates can be self-adapted by the Euclidean distance.The experiments verified that the weak signals submerged in the complex background can be enhanced efficiently by this algorithm.