Title :
Adaptive Bilateral Filter Considering Local Characteristics
Author :
Sun, Lin ; Au, Oscar C. ; Zou, Ruobing ; Dai, Wei ; Wen, Xing ; Sijin Lin ; Li, Jiali
Author_Institution :
Dept. of Electr. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
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 σr 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.
Keywords :
Gaussian processes; adaptive filters; edge detection; image denoising; image texture; wavelet transforms; adaptive bilateral filter; edge regions; image processing; local Gaussian gradient information; texture regions; wavelet denoising method; Conferences; Image edge detection; Noise; Noise measurement; Noise reduction; Surface texture; Surface treatment; adaptive; bilateral filter; details; gaussian gradient; robust;
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
DOI :
10.1109/ICIG.2011.81