Adaptive Bilateral Filter Considering Local Characteristics
Lin Sun, Oscar C. Au, Ruobing Zou, Wei Dai, Xing Wen, Sijin Lin, Jiali Li · 2011
In this paper, we propose a simple but effective adaptive bilateral filter considering local characteristics. The presented method exploits the local gaussian gradient information of the processing image and applies bilateral filter with changing the range filter parameter $\sigma_{r}$ adaptively. The proposed adaptive bilateral filter could preserve more details of the image compared with original bilateral filter in edge or texture regions. What is more, it is more robust to the noise. Also compared with the original bilateral filter and the state-of-art wavelet de-noising method, the proposed method also can effectively remove signal noise while preserving the original structure.