A New Adaptive Bilateral Filtering
Received date: 2011-05-20
Revised date: 2011-08-01
Online published: 2012-09-25
In the existing bilateral filtering algorithm, the domain parameters and range parameters need to be predefined. Parameters of a bilateral filter are fixed and cannot guarantee to be optimal. A new adaptive bilateral filtering (ABF) is proposed in this paper. The ABF obtains the domain parameters by estimating the local object scale to minimize edge blurring. The range parameters are set adaptively according to noise variance estimated in smooth areas of a sub image. The method can improve the filtering performance. To filter out strong noise, the value of domain parameters is increased. ABF avoids setting parameters solely by experience, and the domain parameters are set adaptively according to the local image features. ABF can improve the noise filtering ability and reserves edges. Experiments show that the adaptive bilateral filter is superior to traditional bilateral filters, anisotropic diffusion filters, and modified bilateral filters in both subjective and objective evaluations.
YU Bo, GUO Lei, QIAN Xiao-liang, ZHAO Tian-yun . A New Adaptive Bilateral Filtering[J]. Journal of Applied Sciences, 2012 , 30(5) : 517 -523 . DOI: 10.3969/j.issn.0255-8297.2012.05.013
[1] Gonzalez R C, Woods R E. Digital image processing third edition [M]. Pearson Prentice Hall, 2008:322-325.
[2] Hussain I, Yin Hujun. A novel wavelet thresholding method for adaptive image denoising [C]//International Symposium on Communications,
Control and Signal Processing, St Julians, Malta,March 12-14, 2008: 1252-1256.
[3] Greenberg S, Kogan D. Improved structureadaptive anisotropic filter [J]. Pattern Recognition Letters, 2006, 27(1): 59-65.
[4] Tomasi C, Manduchi R. Bilateral filtering for gray and color images [C]//Proceedings of the International Conference on Computer Vision, Bombay, India,Jan 7-7, 1998: 839-846.
[5] Elad M. On the origin of the bilateral filter and ways to improve it [J]. IEEE Transactions on Image Procession, 2002, 11(10): 1141-1151.
[6] Zhang Buyue, Allebach J P. Adaptive bilateral filter for sharpness enhancement and noise removal [J]. IEEE Transactions on Image Procession, 2008, 17(5): 664-678.
[7] 张志强，王万玉. 一种改进的双边滤波算法[J]. 中国图象图形学报，2009, 14(3): 443-447.
Zhang Zhiqiang,WangWanyu. A modified bilateral filtering algorithm [J]. Journal of Image and Graphics,2009, 14(3): 443-447. (in Chinese)
[8] Saha P K, Udupa J K, OdhnerR D. Scale-based fuzzy connected image segmentation: theory, algorithms,and validation [J]. Computer Vision and Image Understanding, 2000, 77(2): 145-174.
[9] Qian Xiaoliang, Guo Lei, Yu Bo. Scale-based adaptive smoothing [C]//Future Computer and Communication. Wuhan, China, May 21-24, 2010: 240-244.
[10] Chen Ke. Adaptive smoothing via contextual and local discontinues [C]//IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10):1552-1567.
[11] Paris S, Kornprobst P, Tumblin J, Durand F. A gentle introduction to bilateral filtering and its applications [C]//The 34th International Conference
and Exhibition on Computer Graphics and Interactiive Techniques, California, USA, August 05-09, 2007,Course 13: 1-45.
[12] Zhang Ming. Bilateral filter in image processing [D].Baton Rouge: Louisiana State University, 2009.
[13] Tai S C, Yang S M. A fast method for image noise estimation using Laplacian operator and adaptive edge detection [C]//International Symposium
on Communications, Control and Signal Processing, Malta, March 12-14, 2008: 1077-1081.
[14] Rifkah E, Amer A. Fast automated stopping-time and edge-strength estimation for anisotropic diffusion [C]//International Conference on Acoustics,
Speech and Signal Processing, Las Vegas, USA, March 31-April 4, 2008: 933-936.
/
| 〈 |
|
〉 |
