一种新的基于参数估计的自适应双边滤波算法
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摘要
传统双边滤波算法需要根据经验预先设置空间标准差和灰度标准差,参数固定且不具有通用性。针对此问题,提出了一种新的基于参数估计的自适应双边滤波算法。通过图像灰度共生矩阵实现空间标准差的自适应,利用统计方法估计光滑区域噪声标准差,根据噪声标准差设置灰度标准差,从而实现自适应双边滤波。仿真结果表明,提出的算法无论在主观还是客观评价上都取得了较好的效果。
In the traditional bilateral filtering algorithm,the spatial parameter and gray parameter need to be predefined. The parameters are fixed and lack of adaptability.In order to solve this problem,this paper proposed a novel adaptive bilateral filtering algorithm based on parameter estimation.The algorithm obtained the geometric parameter according to the gray level co-occurrence matrix and got the photometric parameter via estimating noise standard deviation of smooth domain. Experimental results show the effectiveness of the modified adaptive bilateral filtering in both subjective effects and objective image quality assessment.
In the traditional bilateral filtering algorithm,the spatial parameter and gray parameter need to be predefined. The parameters are fixed and lack of adaptability.In order to solve this problem,this paper proposed a novel adaptive bilateral filtering algorithm based on parameter estimation.The algorithm obtained the geometric parameter according to the gray level co-occurrence matrix and got the photometric parameter via estimating noise standard deviation of smooth domain. Experimental results show the effectiveness of the modified adaptive bilateral filtering in both subjective effects and objective image quality assessment.
引文
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[16]Paris S,Kornprobst P,Tumblin J,et al.A gentle introduction to bilateral filtering and ite applications[C]//Proc of the 34th International Conference and Exhibition on Computer Graphics and Interactive Techniques.2007:1-45.
[2]Bigün J,Granlund G H,Wiklund J.Multidimensional orientation estimation with applications to texture analysis and optical flow[J].IEEE Trans on Pattern Analysis and Machine Intelligence,1991,13(8):775-790.
[3]Steger C.An unbiased detector of curvilinear structures[J].IEEE Trans on Pattern Analysis and Machine Intelligence,1998,20(2):113-125.
[4]Tomasi C,Manduchi R.Bilateral filtering for gray and color image[C]//Proc of the 6th International Conference on Computer Vision.Washington DC:IEEE Computer Society,1998:839-846.
[5]Paris S,Durand F.A fast approximation of the bilateral filter using a signal processing approach[J].International Journal of Computer Vision,2009,81(1):24-52.
[6]Shi Jinglun,Liu Zhenyu,Tian Jing.Bilateral signal variance estimation for wavelet-domain image denoising[J].Science China Information Sciences,2013,56(6):1-6.
[7]张海荣,檀结庆.改进的双边滤波算法[J].合肥工业大学学报:自然科学版,2014,37(9):1059-1062.
[8]郭俊喜,戴激光.一种改进的双边滤波算法[J].黑龙江工程学院学报,2014,28(2):9-11.
[9]南栋,毕笃彦,马时平,等.一种基于参数估计的自适应双边滤波算法[J].中南大学学报:自然科学版,2014,45(11):3840-3845.
[10]Zhu Xiang,Milanfar P.Automatic parameter selection for denoising algorithms using a no-reference measure of image content[J].IEEE Trans on Image Processing,2010,19(12):3116-3132.
[11]杨振亚,白治江,王成道.自适应Canny边缘检测算法[J].上海海运学院学报,2003,24(4):373-377.
[12]Zhang Ming,Gunturk B.A new image denoising method based on the bilateral filter[C]//Proc of IEEE International Conference on Acoustics,Speech and Signal Processes.2008:929-932.
[13]Zhang Ming.Bilateral filter in image processing[D].Baton Rouge:Louisiana State University,2009.
[14]Tai S C,Yang S M.A fast method for image noise estimation using Laplacian operator and adaptive edge detection[C]//Proc of International Symposium on Communications,Control and Signal Processing.2008:1077-1081.
[15]He Kaiming,Sun Jian,Tang Xiaoou.Guided image filtering[C]//Proc of the 11th European Conference on Computer Vision.Berlin:Springer,2011:1-14.
[16]Paris S,Kornprobst P,Tumblin J,et al.A gentle introduction to bilateral filtering and ite applications[C]//Proc of the 34th International Conference and Exhibition on Computer Graphics and Interactive Techniques.2007:1-45.