关键词: 双边滤波, 局部模式, 梯度双边滤波, 梯度相似度核, 参数配置

Abstract: In order to improve the denoising performance of bilateral filtering, introducing local pattern of images, the gradient bilateral filtering algorithm is proposed. Using the gradient distance of the intensity values of adjacent pixels to construct a gradient similarity kernel, the weighted average of neighboring pixels in an image is performed through the functions of geometric closeness kernel and gradient similarity kernel, then filtering is achieved. In order to obtain the optimal filtering parameters, the filtering parameters are selected through an experiential learning approach. Finally the universal parameter configuration is got. The experimental results show that the new method can well preserve edges of images, and compared with the traditional denoising models, its denoising performance is also the best.

Key words: bilateral filtering, local pattern, gradient bilateral filtering, gradient similarity kernel, parameter configuration