Constant time bilateral filtering for color images
Bilateral filtering is a commonly used technique in image processing. However, being nonlinear, it is computationally expensive. The situation gets worse while the filter radius grows up. Several works have been proposed to accelerate the computation. Nevertheless, most techniques are tailored for grayscale image bilateral filtering or confined to specific kernel functions. In this paper, we propose a constant time bilateral filter for color images. Specifically, we extend an existing constant time bilateral filtering technique, which has been demonstrated the state of the art for gray scale images. We generalize the original approach as a three stage algorithm. Based on the generalization, we explain the drawbacks of its naive extension for color images and propose a solution that adapts to the image content. Experimental results demonstrate the effectiveness of our solution.
2016 IEEE International Conference on Image Processing (ICIP)