一种基于内容的图像自适应滤波算法

A Content-Based Image Adaptive Filtering Algorithm

在数字成像设备中,高斯白噪声和椒盐噪声是两种常见的噪声源,对图像质量均有较大的影响。针对这两种噪声的特点,提出了一种基于内容的图像自适应滤波算法。该算法可以根据图像中各个块的特点自适应地调整滤波系数,从而达到最优的滤波效果。实验证明采用该算法对受到其中一种噪声源干扰的图像或者同时包含上述两种噪声的图像滤波,都能获得较好的结果。

In the digital imaging equipment, Gaussian white noise and salt ＆ pepper noise are both common noise source. They have great impact on the quality of the image. Against the characteristics of the noises, a content-based image adaptive filtering algorithm is presented. In order to obtain the optimum filtering effect, the algorithm can adjust the filter coefficients adaptively, according to various pieces of the image features. Experiment shows that the algorithm can get good effect from the image interfered by Gaussian noise source, salt ＆ pepper noise source and both noise sources.