一种基于正切图像处理(TIP)模型的图像滤波算法

摘要

Few image details will be lost when noise is filtered in traditional image filtering algorithm. This article put forward an image filtering algorithm based on tangent image process model. This algorithm filters image by using tangent function and arctangent function according to 3 × 3 neighborhood pixel value of the pixel to be detected. It is simple, and easy to be implemented. Details of image edge and corner can be preserved and enhanced when noise is restrained effectively. The experiment shows that this algorithm is obviously better than other image filtering algorithm.%传统的图像滤波算法在滤除噪声的同时会丢失一些图像的细节信息,使图像变得模糊,为此提出了一种基于正切图像处理模型的图像滤波算法,算法根据待检测像素周围3×3邻域的像素值,利用正切函数和反正切函数进行处理.算法简单、容易实现,能够在有效地抑制噪声的同时,增强和保留图像的边缘和角点等细节信息.通过实验比较可知,该算法明显优于其它图像滤波算法.