Novel Adaptive SVR Based on Filter for Image Restoration
用于图像恢复的基于SVR的自适应新滤波器的研究*

In this paper, a novel adaptive filter based on support vector regression is proposed, which can effectively be used to suppress impulse noise in images. The main idea of our filter is to use SVR impulse detector to judge whether an input pixel is noised. If it is noised, we remove its noise by a median filter. When detecting an input pixel, we regress the filer window of an input pixel using SVR, then judge the input pixel by its regression distance. In SVR regression, we use the Huber loss function due to its excellent robustness. Compared with the latest SVC approach, our filter can preserve more image details while effectively suppressing impulse noise for image restoration. Experimental results indicates the success of our filter.