Scale adaptive structure tensor based rolling trilateral filter
Daiki Isono, Xiaohua Zhang, Ning Xie · International Workshop on Advanced Imaging Technology (IWAIT) 2022 · 2022
One of tasks of image filter is to preserve strong edge structure and smooth textures in the given image. Recently, many approaches have been proposed to accomplish this challenging task. In this paper, we propose a scale adaptive structure tensor based rolling trilateral filter to smooth detailed small textures while preserving prominent structures. The proposed method first estimates scale at each pixel using a structure measure; then computes the eigenvalues and eigenvectors of structure tensor constructed from gradient at each pixel. The trilateral filter includes anisotropic weight in spatial space, the Gaussian weight in range space and the Gaussian weight of inner product of eigenvectors in gradient space. Results of experiments conducted on many natural images demonstrate that the proposed filter performs well.