摘要: PPB滤波器不能在滤波过程中对参与滤波的像素块进行有效的选择并具有不适宜的权重计算方式,从而导致滤波后的图像抑制了原图中尺寸较小的图像细节。针对以上问题,首先引入簇树这一数据结构,选取与PPB滤波器相同的距离准则构建簇树,以实现对图像块的快速、精确的筛选。然后通过旋转像素块重新定义两个像素块之间的权重,解决原始的PPB滤波器对图像中旋转的或镜像的重复区域不能很好利用的问题。最后采用PPB滤波器的非迭代滤波方式进行滤波。实验证明,改进的滤波器在纹理和细节保持方面较原滤波器有显著的提高,特别是在尺寸较小的图像细节特征保持方面。
[1] Lee J S,Wen J H,Ainsworth T L,et al.Improved sigma filter for speckle filtering of SAR imagery [J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(1):202-213 [2] Efros A A,Leung T K.Texture synthesis by non-parametricsampling [C]∥Proceedings of the International Conference on Computer Vision.1999,2:1033-1038 [3] Buades A,Coll B,Morel J.A review of image denoising algo-rithms,with a new one [J].Multiscale Modeling and Simulation,2005,4(2):490-530 [4] Zhong H,Li Y W,Jiao L C.Bayesian nonlocal means filter for SAR image despeckling [C]∥Proc.Asia-Pacific Conf.Synthetic Aperture Radar. Xian,China,2009:1096-1099 [5] Kervrann C,Boulanger J,Coupe P.Bayesian non-local means filter,image redundancy and adaptive dictionaries for noise remo-val[C]∥Proc.Int.Conf.Scale Space Me-thods Variational Methods Comput.Vis.2007:520-532 [6] Deledalle C,Denis L,Tupin F.Iterative weighted maximum likelihood denoising with probabilistic patch-based weights [J].IEEE Trans.Image Process.,2009,18(12):2661-2672 [7] Gilboa G,Osher S.Non-local linear image regularization and supervised segmentation[R].Los Angeles:Dept.Math.Univ.California,2006:06-47 [8] Liu T,Moore A,Gray A,et al.An investigation of practical approximate nearest neighbor algorithms[C]∥Proc.Neural Information Processing Systems.2005:825-832 [9] Sven G,Sebastian Z,Joachim W.Rotationally invariant similarity measures for nonlocal image denoising[J].Visual Comm.And Image Represent,2011,22:117-130 [10] Oliver C,Quegan S.Understanding Synthetic Aperture Radar Images[M].NC:SciTech,2004 |
No related articles found! |
|