一种新的自适应双边滤波算法

doi:10.3969/j.issn.0255-8297.2012.05.013

应用科学学报 ›› 2012, Vol. 30 ›› Issue (5): 517-523.doi: 10.3969/j.issn.0255-8297.2012.05.013

一种新的自适应双边滤波算法

余博，郭雷，钱晓亮，赵天云

西北工业大学自动化学院，西安710129

收稿日期:2011-05-20 修回日期:2011-08-01 出版日期:2012-09-24 发布日期:2012-09-25
通信作者: 余博，博士生，研究方向：图像处理、模式识别、目标跟踪等，E-mail: boboy163@163.com； E-mail:boboy163@163.com
作者简介:余博，博士生，研究方向：图像处理、模式识别、目标跟踪等，E-mail: boboy163@163.com；郭雷，教授，博导，研究方向：神经计算、图像与视频处理、计算机视觉等，E-mail：lguo@nwpu.edu.cn
基金资助:
航空科学基金(No.20080153002)资助

A New Adaptive Bilateral Filtering

YU Bo, GUO Lei, QIAN Xiao-liang, ZHAO Tian-yun

Institute of Automation, Northwestern Polytechnical University, Xi’an 710129, China

Received:2011-05-20 Revised:2011-08-01 Online:2012-09-24 Published:2012-09-25

摘要/Abstract

摘要：

现有的双边滤波算法需要预先设置空间方差和灰度方差参数，滤波时参数固定且不能保证是最优的参数设置. 文中提出一种新的自适应双边滤波算法(adaptive bilateral filtering, ABF)，通过目标尺度信息实现空间方差局部自适应取值，保留更多的图像边缘特征；采用图像分块技术估计噪声方差，根据噪声方差自适应地设置灰度方差，以保证滤除噪声的性能；通过强制增大空间方差滤除较强噪声点. ABF不必像传统双边滤波算法那样根据经验设置参数，而是根据图像局部特征自适应地设置空间参数，不仅提高了滤除噪声的能力，而且更好地保留了图像边缘特征. 仿真实验表明，无论是主观评价还是客观评价，所提出的方法均优于传统的双边滤波算法、各向异性扩散算法和改进的双边滤波算法.

关键词: 自适应双边滤波, 空间方差, 灰度方差, 目标尺度

Abstract:

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.

Key words: adaptive bilateral filtering, domain parameters, range parameter, object scale

中图分类号:

TP391.4

余博，郭雷，钱晓亮，赵天云. 一种新的自适应双边滤波算法[J]. 应用科学学报, 2012, 30(5): 517-523.

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.

参考文献

[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.

一种新的自适应双边滤波算法

A New Adaptive Bilateral Filtering

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