Image Enhancement Based on Improved Genetic Algorithm and Lifting Wavelet Method

摘要：

An image enhancement algorithm based on genetic algorithm and lifting wavelet method is proposed in this paper. This algorithm improves crossover operation algorithm. It utilizes average displacement method for mutation operation. Probabilities of crossover and mutation are selected adaptively. We have decided the fitness function, and have implemented multi-thread design. The algorithm optimizes the prediction and updating operator of lifting wavelet by means of genetic algorithm. The decision of the prediction and updating operator is improved. The contrast ration between the object and background is increased. The details of images are reserved well. The background noise is reduced , and the algorithm is very efficient.

关键词： Image Enhancement Improved Genetic Algorithm Lifting Wavelet Multi-thread

作者: Chuanjun Song Bingkun Gao Lingling Kan Hongwei Liang

作者单位: School of Electric Information Engineering, Daqing Petroleum University, Daqing, 163318, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 893-895

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）