TV image enhancement technology based on particle swarm optimization
Lifang Yang, Lin Liu
Chongqing College of Electronic Engineering, Chongqing, 401331, China
Television images can be blurred and indistinct by noises in the acquisition and transmission process. Traditionally, control parameters of fuzzy enhancement algorithm are manually controlled, which leads to poor enhancement effect and efficiency. In this work, particle swarm optimization (PSO), due to its fewer parameters and global optimization capability, is combined with fuzzy enhancement algorithm for the optimization of fuzzy enhancement parameters. Simulation results show that PSO can make television images clearer and highlight in certain features, thus improving the visual effect of television images.