基于人眼视觉特性的彩色图像自适应增强算法

针对有些图像增强算法对噪声比较敏感,提出了一种自适应图像增强算法.利用原算法的基本原理,结合人眼的视觉特性自适应地生成算法的参数,这样首先保留了原算法实现容易、运算速度快等特点,其次,对噪声具有一定的抑制作用,再次,可以增强和保留图像细节信息.通过实验比较,所提算法能够自适应地生成算法的参数,并在保持了原算法原有的容易实现的优点的基础上,提高了算法抑制噪声方面的性能,将该算法应用于彩色图像增强也取得了相当理想的结果.

An Adaptive Color Image Enhancement Algorithm Based on Human Visual Properties

For the sensitivity to noise of some image enhancemext methods, an adaptive image enhancement algorithm is proposed. Using the basic principle of the original method, the parameters of the algorithm is adaptively generated according to the human visual properties. Firstly, the proposed algorithm can keep the original advantages such as easy realization and quick calculation. Secondly, it plays a certain part in restraining noise. Finally, it can enhance and reserve the detail information. By comparing with other image enhancement algorithms, the proposed algorithm can get parameters of algorithm automaticly. Besides the easy realization of original method, the new algorithm also can improve the performance in restraining noise. At the same time, it can be used to enhance color image.