关键词: 纹理合成, 混洗蛙跳算法, 粒子群, 块匹配, 优化算法

Abstract: A texture synthesis algorithm based on Shuffled Frog Leaping Algorithm and Particle Swarm Optimization (SFLA-PSO) and block increasing was proposed for example-based synthesis. It can be used to speed up texture synthesizing through using the texture block of which size was increased two times during the process of texture synthesis. As texture block matching optimum strategy, SFLA and PSO were combined to accelerate and improve the global searching performance. The experimental results prove that the algorithm can significantly accelerate the speed of examplebased synthesis on the premise of fine synthesis quality, and also can overcome the defect of easily falling into local optimal solution of PSO algorithm.

Key words: texture synthesis, Shuffled Frog Leaping Algorithm(SFLA), Particle Swarm Optimization(PSO), block matching, optimization algorithm