中值滤波算法在人眼视觉系统中的增强改进

摘要

This paper proposes a image denoising enhancement algorithm that based on the median filtering algorithm and use the modified human eye visual features.The first use of this method eye features that wil be adjusted in order to improve the image background brightness grayscale,and then in the filter template uses JND curve features to improve the contrast between pixels,so as to removing noise and improve the image of the clear degree,make the eye to acquire more information.Experimental results show that the method is compared with the traditional filter algorithm,the processed image is more conducive to the human eye observation.%　　本文提出一种在中值滤波算法基础上利用人眼视觉特性改进的图像去噪增强算法。该方法首先利用人眼特性将灰度级进行调整以提高图像背景亮度，然后在滤波模版中利用JND曲线特性提高像素间的对比度，从而在去除噪声的同时提高了图像的清晰程度，使人眼获得更多的信息量。实验结果表明：该方法与传统滤波算法相比，处理过的图像更利于人眼观察。