基于微粒群的图像增强算法研究

Research of Image Enhancement Based on Particle Swarm Optimization

图像增强处理中,对比度变换是一种较为有效的方法.如何根据输入图像自动选择规则化Beta函数的两个参数实现自适应增强仍是一个较为复杂的问题.提出了一种基于微粒群的自适应图像增强算法,此算法通过自动寻找最优的Beta函数参数实现图像对比度的自适应增强.仿真实验表明了该算法的有效性和可行性.

The contrast transform is an efficient method in the field of image enhancement. It is still a problem to find the two parameters of the Beta function for an input image to be adaptively enhanced. This paper proposes a method of image enhancement based on particle swarm optimization, which can automatically find the optimal regularized Beta function to achieve image adaptive enhancement. Experiments show that this method is practical and efficient.