基于TABU算法的层叠滤波器优化设计

Nonlinear digital filters are widely applied in fields of image processing, stack filters are a class of nonlinear digital filters that satisfy a weak superposition property known as the threshold decomposition and stacking property. Their design is formulated as a course of optimizing PBF. Existing optimizing algorithms are mostly genetic algorithm and simulated annealing. In this paper, we apply a new optimizing algorithm—Tabu search(TS) to optimize stack filters under MSE error criteria, It can search for the best all-around result. Results of experiments show that stack filters optimized by TS have good capabilities, It can suppress noise and protect the details of image effectively.