基于人眼视觉特性的自适应的图像增强算法的研究

本文提出了一种基于人眼视觉特性的自适应的图像增强算法，这种算法是对基于ＬＩＰ模型的Ｌｅｅ图像增强算法的改进。该算法能够有效地增强整个图像的对比度，增大图像的动态范围，并且依据人眼视觉特性，增强图像的边缘而不明显地增大噪声。这种算法容易实现，适用于实时系统的应用。几种算法实验结果的分析和分析，表明了这种算法的有效性。

An Adaptive Image Enhancement Algorithm Based on Human Visual Properties

This paper describes an adaptive image enhancement algorithm based on human visual properties,which is an improved version of Lee's image enhancement algorithm based on the LIP model.The algorithm can improve the overall contrast of an image and expand the dynamic range.According to the HVS,it can sharpen the image edges and avoid much enhancement of noise.The algorithm is easy to implement,and suitable for real time applications.Experimental results of the proposed algorithm and other algorithms are compared and analyzed to illustrate the effectiveness of the proposed method.