同态非局部滤波在激光主动成像散斑抑制中的应用研究
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摘要
传统的激光主动成像散斑抑制方法中,局部单像素滤波和变换域滤波难以取得良好的抑制效果,同时容易导致边缘展宽,对图像信息造成破坏。鉴于非局部滤波对加性噪声的优异去噪性能,本文研究了三种具有代表性的非局部滤波方法,并使用半导体泵浦固体脉冲激光器搭建主动成像系统,进行散斑噪声抑制性能的比较。实验表明,采用同态FMPatchGP不仅能够有效抑制散斑噪声,而且能很好地保持边缘信息,同时满足实时性处理的要求,在激光主动照明系统中具有良好的应用前景。
Its difficult for traditional speckle suppression methods such as local single pixel filters and transform-domain filters to obtain good suppression effects in laser active imaging.Meanwhile,these methods would broaden edges,so as to damage the information of the image.In view of the excellent suppression performance of non-local filters for additive noise,three representative nonlocal filtering methods are introduced into laser active imaging.An active imaging system was built up to compare the performance of these three methods in speckle noise suppression using a diode-pumped solid-state pulsed laser.Experimental results indicated that homomorphic FM-PatchGP can not only suppress speckle noise effectively,but also preserve edge information while satisfies the real-time requirement,which leads to a good application prospect in laser active lighting systems.
Its difficult for traditional speckle suppression methods such as local single pixel filters and transform-domain filters to obtain good suppression effects in laser active imaging.Meanwhile,these methods would broaden edges,so as to damage the information of the image.In view of the excellent suppression performance of non-local filters for additive noise,three representative nonlocal filtering methods are introduced into laser active imaging.An active imaging system was built up to compare the performance of these three methods in speckle noise suppression using a diode-pumped solid-state pulsed laser.Experimental results indicated that homomorphic FM-PatchGP can not only suppress speckle noise effectively,but also preserve edge information while satisfies the real-time requirement,which leads to a good application prospect in laser active lighting systems.
引文
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[2]付瀚毅,刘伟奇,魏忠伦,等.转动随机微透镜阵列对激光显示中散斑的抑制[J].液晶与显示,2015,30(2):359-364.FU H Y,LIU W Q,WEI Z L,et al.Speckle reduction using rotating random micro-lens array in laser display[J].Chinese Journal of Liquid Crystals and Display,2015,30(2):359-364.(in Chinese)
[3]DA CUNHA A L,ZHOU J P,DO M N.The nonsubsampled contourlet transform:Theory,design,and applications[J].IEEE Transactions on Image Processing,2006,15(10):3089-3101.
[4]GUERRERO-COLON J A,PORTILLA J.Two-level adaptive denoising using Gaussian scale mixtures in overcomplete oriented pyramids[C].Proceedings of IEEE International Conference on Image Processing,Genova:IEEE,2005,1:105-108.
[5]AHARON M,ELAD M,BRUCKSTEIN A M.K-SVD:An algorithm for designing of overcomplete dictionaries for sparse representation[J].IEEE Transactions on signal Processing,2006,54(11):4311-4322.
[6]FOI A,KATKOVNIK V,EGIAZARIAN K.Pointwise shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images[J].IEEE Transactions on Image Processing,2007,16(5):1395-1411.
[7]BUADES A,COLL B.A non-local algorithm for image denoising[C].IEEE International Conference on Computer Vision and Pattern Recognition,San Diego,CA,USA:IEEE,2005,2:60-65.
[8]DABOV K,FOI A,KATKOVNIK V,et al.Image denoising by sparse 3-D transform-domain collaborative filtering[J].IEEE Transactions on Image Processing,2007,16(8):2080-2095.
[9]CHEN X G,ANG S B,YANG J,et al.Fast patch-based denoising using approximated patch geodesic paths[C].IEEE International Conference on Computer Vision and Pattern Recognition,Portland,OR:IEEE,2013:1211-1218.
[10]刘巧红,李斌,林敏.结合复方向滤波器组高斯尺度混合模型及非局部均值滤波的图像去噪[J].光学精密工程,2014,22(10):2806-2814.LIU Q H,LI B,LIN M.Image denoising with dual-directional filter bank GSM model and non-local mean filter[J].Optics and Precision Engineering,2014,22(10):2806-2814.(in Chinese)
[11]LEE J S.Digital image enhancement and noise filtering by use of local statistics[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1980,2(2):165-168.
[12]FROST V S,STILES J A,SHANMUGAN K S,et al.A mode for radar images and its application to adaptive digital filtering of multiplicative noise[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1982,4(2):157-166.
[13]叶树亮,张玉德,张炜.齿轮视觉检测中的尺度与方向相关性联合降噪[J].光学精密工程,2014,22(6):1622-1630.YE S L,ZHANG Y D,ZHANG W.Scale and directional correlation combined denoiseing in gear visual inspection[J].Optics and Precision Engineering,2014,22(6):1622-1630.(in Chinese)
[14]金炜,王文龙,符冉迪,等.联合块匹配与稀疏表示的卫星云图修复[J].光学精密工程,2014,22(7):1886-1895.JIN W,WANG W L,FU R D,et al.Satellite cloud image inpainting based on patch matching and sparse representation[J].Optics and Precision Engineering,2014,22(7):1886-1895.(in Chinese)
[15]王灿进,孙涛,王锐,等.基于信号子空间谱域约束的激光主动成像散斑噪声去除[J].中国激光,2013,40(11):217-222.WANG C J,SUN T,WANG R,et al.Speckle noise suppression for laser active imaging based on spectrum-domain constrain in signal subspace[J].Chinese Journal of Lasers,2013,40(11):217-222.(in Chinese)
[16]钱方,孙涛,郭劲,等.无参考的特征点复杂度激光干扰图像评估[J].光学精密工程,2015,23(4):1179-1186.QIAN F,SUN T,GUO J,et al.No-reference laser-dazzling image quality assessment based on feature-point complexity[J].Optics and Precision Engineering,2015,23(4):1179-1186.(in Chinese)