基于并行遗传算法的红外图像增强及相关技术

The infrared image enhancement and the correlative techniquebased on the parallel genetic algorithm

针对红外图像的增强采用改进的遗传算法,将输出图像与输入图像的灰度对应关系进行编码,利用一定的图像质量评价标准去搜索效果最好的对应关系,从而取得较好的增强效果.为了提高遗传算法的效率,设计出了基于多线程的并行遗传算法计算模型.仿真实验结果表明,该方法有很好的可行性和有效性.

A new method for infrared image enhancement using the improved genetic algorithm is proposed. First the relation between gray levels for the input and output images is coded, and then the most effective relation of the effect is searched for by using a certain evaluation standard for the image quality. In order to improve the efficiency of the genetic algorithm, a calculation model based on the multi-threadlike parallel genetic algorithm is designed. The results of a large number of the simulation experiments show that the algorithm has good feasibility and effectiveness.