Citation: | YANG Hang, WU Xiao-tian, WANG Yu-qing. Image restoration approach based on structure dictionary learning[J]. Chinese Optics, 2017, 10(2): 207-218. doi: 10.3788/CO.20171002.0207 |
[1] |
沈峘, 李舜酩, 毛建国, 等.数字图像复原技术综述[J].中国图像图形学报, 2009, 14(9):1764-1775. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200909012.htm
SHEN H, LI S M, MAO J G, et al.. Digital image restoration techniques:a review[J]. J. Image and Graphics, 2009, 14(9):1764-1775.(in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200909012.htm
|
[2] |
杨亚威, 胡双演, 张士杰, 等.基于字典对联合学习的退化图像复原方法[J].计算机辅助设计与图形学学报, 2015, 3:406-413. http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201503005.htm
YANG Y W, HU SH Y, ZHANG SH J, et al.. A degraded image restoration approach based on pairs of dictionaries jointly learning[J]. J. Computer-Aided Design & Computer Graics, 2015, 3:406-413.(in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201503005.htm
|
[3] |
陈曦, 汪彦刚, 彭思龙, 等.部分模糊核已知的混合模糊图像复原算法[J].计算机辅助设计与图形学学报, 2010, 2:272-278. http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201002015.htm
CHEN X, WANG Y G, PENG S L, et al.. Restoration of degraded image from partially known mixed blur[J]. J. Computer-Aided Design & Computer Graphics, 2010, 2:272-2781.(in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201002015.htm
|
[4] |
JAIN A K. Fundamental of Digital Image Processing[M]. Prentice-Hall. Inc., 1989:1420-1424.
|
[5] |
朱明, 杨航, 贺柏根, 等.联合梯度预测与导引滤波的图像运动模糊复原[J].中国光学, 2013, 6(6):850-855. http://www.chineseoptics.net.cn/CN/abstract/abstract9084.shtml
ZHU M, YANG H, HE B G, et al.. Image motion blurring restoration of joint gradient prediction and guided filter[J]. Chinese Optics, 2013, 6(6):850-855.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9084.shtml
|
[6] |
刘成云, 常发亮.基于稀疏表示和Weber定律的运动图像盲复原[J].光学精密工程, 2015, 23(2):600-608. doi: 10.3788/OPE.
LIU C Y, CHANG F L. Blind moving image restoration based on sparse representation and Weber's law[J]. Opt. Precision Eng., 2015, 23(2):600-608.(in Chinese) doi: 10.3788/OPE.
|
[7] |
BANHAM M R, KATSAGGELOS A K. Digital image restoration[J]. IEEE Siggcal Processing Magazine, 1997, 14(2):24-41. doi: 10.1109/79.581363
|
[8] |
HANSEN P C. Rank-deficient and Discrete ill-posed Problems:Numerical Aspects of Linear Inversion[M]. Philadelphia, PA:SIAM, 1998.
|
[9] |
WANG Y, YANG J, YIN W, et al.. Anew alternating minimization algorithm for total variation image reconstruction[J]. SIAM J. Imag. Sci., 2008, 1(3):248-272. doi: 10.1137/080724265
|
[10] |
OLIVEIRA J, BIOUCAS-DIAS J M, FIGUEIREDO M A, et al.. Adaptive total variation image deblurring:a majorization-minimization approach[J]. Signal Processing, 2009, 89(9):1683-1693. doi: 10.1016/j.sigpro.2009.03.018
|
[11] |
DAUBECHIES I, DEFRISE M, AND MOL C, et al.. An iterativethresholding algorithm for linear inverse problemswith a sparsity constraint[J]. Communications on Pure and Applied Mathematics, 2004, 57(11):1413-1457. doi: 10.1002/(ISSN)1097-0312
|
[12] |
BECK A, TEBOULLE M A. Fast iterativeshrinkage-thresholding algorithm for linear inverseproblems[J]. SIAM J. Imag. Sci., 2009(2):183-202. https://www.researchgate.net/publication/220124383_A_Fast_Iterative_Shrinkage-Thresholding_Algorithm_for_Linear_Inverse_Problems
|
[13] |
BIOUCAS-DIAS J, FIGUEIREDO M. A new TwIST:two-step iterative shrinkage/thresholding algorithms for image restoration[J]. IEEE Trans. Image Process, 2007, 16(12):2992-3004. doi: 10.1109/TIP.2007.909319
|
[14] |
张振东, 陈健, 王伟国, 等.基于SSIM_NCCDFT的超分辨率复原评价方法研究[J].液晶与显示, 2015, 30(4):713-721. doi: 10.3788/YJYXS
ZHANG ZH D, CHEN J, WANG W G, et al.. Evaluation method of super-resolution restoration based on SSIM_NCCDFT[J]. Chinese J. Liquid Crystals and Displays, 2015, 30(4):713-721.(in Chinese) doi: 10.3788/YJYXS
|
[15] |
郭萌, 赵岩, 王世刚, 等.基于区域选择的红外弱小目标超分辨率复原算法[J].液晶与显示, 2016, 31(4):415-420. doi: 10.3788/YJYXS
GUO M, ZHAO Y, WANG SH G, et al.. Infrared dim-small target super-resolution restoration algorithm based on region selection[J]. Chinese J. Liquid Crystals and Displays, 2016, 31(4):415-420.(in Chinese) doi: 10.3788/YJYXS
|
[16] |
NEELAMANI R, CHOI H, BARANIUK R G. ForWaRD:Fourier-wavelet regularized deconvolution for ill-conditioned systems[J]. IEEE Trans. Signal Process, 2004, 52(2):418-433.(in Chinese) doi: 10.1109/TSP.2003.821103
|
[17] |
PATEL V M, EASLEY G R, HEALY D M. Shearlet-based deconvolution[J]. IEEE Trans. Image Process, 2009, 18(12):2673-2685. doi: 10.1109/TIP.2009.2029594
|
[18] |
YANG H, ZHANG Z B. Fusion of wave atom-based wiener shrinkage filter and joint non-local means filter for texture-preserving image deconvolution[J]. Optical Engineering, 2012, 51(6):67-75. https://www.researchgate.net/publication/258687989_Fusion_of_wave_atom-based_Wiener_shrinkage_filter_and_joint_non-local_means_filter_for_texture-preserving_image_deconvolution
|
[19] |
GUERRERO-COLON J A, MANCERA L, PORTILL J. Image restoration using space-variant Gaussian scale mixtures in overcomplete pyramids[J]. IEEE Trans. Image Process, 2007, 17(1):27-41. https://www.researchgate.net/publication/5621703_Image_Restoration_Using_Space-Variant_Gaussian_Scale_Mixtures_in_Overcomplete_Pyramids
|
[20] |
FOI A, DABOV K, KATKOVNIK V, et al.. Shape-adaptive DCT for denoising and image reconstruction[J]. SPIE, 2006, 6064:203-214. https://www.researchgate.net/publication/240237642_Shape-adaptive_DCT_for_denoising_and_image_reconstruction_-_art_no_60640N
|
[21] |
DABOV K, FOI A, KATKOVNIK V, et al.. Image denoising by sparse 3D transform-domain collaborative filtering[J]. IEEE Trans. Image Process, 2007, 16(8):2080-2095. doi: 10.1109/TIP.2007.901238
|
[22] |
DABOVE K, FOI A, Image restoration by sparse 3D transform-domain collaborative filtering[J]. SPIE, 2008, 6812:681207-12.
|
[23] |
YANG H, ZHU M, ZHANG Z B, et al.. Guided filter based edge-preserving image non-blind deconvolution[C]. Proc. 20th IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, 2013:4593-4596.
|
[24] |
YANG H, ZHANG Z B, ZHU M, et al.. Edge-preserving image deconvolution with nonlocal domain transform″[J]. Optics and Laser Technology, 2013, 54:128-136. doi: 10.1016/j.optlastec.2013.05.020
|
[25] |
ELAD M, AHARON M. Image denoising via sparse and redundant representations over learned dictionaries[J]. IEEE Transactions on Image Processing, 2006, 15(12):3736-3745. doi: 10.1109/TIP.2006.881969
|
[26] |
COUZINIE-DEVY F, MAIRAL J, BACH F, et al.. Dictionary learning for deblurring and digital zoom[EB/OL].[2011-09-28].https://hal.inria.fr/inria-00627402.
|
[27] |
JAIN A K, CAO K. Fingerprint image analysis:role of orientation patch and ridge structure dictionaries[J]. Geometry Driven Statistics, 2015:121-288.
|
[28] |
LI K, SHAO F, JIANG G, et al.. Joint structure texture sparse coding for quality prediction of stereoscopic images[J]. Electronics Letters, 2015, 51(24):1994-1995. doi: 10.1049/el.2015.2049
|
[29] |
YUAN L, SUN J, QUAN L, et al.. Progressive inter-scale and intra-scale non-blind image deconvolution[J]. ACM Transaction on Graphics, 2008, 27(3):74-83. https://www.researchgate.net/publication/220183655_Progressive_inter-scale_and_intra-scale_non-blind_image_deconvolution
|
[30] |
PORTILLA J. Image restoration through l0 analysis based sparse optimization in tight frames[C]. Proc. 16th IEEE ICIP, Cairo, Egypt, 2009:3909-3912.
|
[31] |
NI J, TURAGA P, PATEL V M, CHELLAPPA R. Example-driven manifold priors for image deconvolution[J]. IEEE Trans. Image Process, 2011, 20(11):3086-3096. doi: 10.1109/TIP.2011.2145386
|
[32] |
XUE F, LUISIER F, BLU T. Multi-wiener SURE-LET deconvolution[J]. IEEE Trans. Image Process, 2013, 22(5):1954-1968. doi: 10.1109/TIP.2013.2240004
|
[33] |
CHATTERJEE P, MILANFAR P. Clustering-based denoising with locally learned dictionaries[J]. IEEE Trans. Image Process, 2009, 18(7):1438-1451. doi: 10.1109/TIP.2009.2018575
|
[34] |
MAIRAL J, BACH F, PONCE J, et al.. Non-local sparse models for image restoration[C]. Proc. IEEE Int. Conf. Comput. Vis., Kyoto, Japan, 2009:2272-2279.
|
[35] |
LIU Q G, WANG S S, YING L L, et al.. Adaptive dictionary learning in sparse gradient domain for image recovery[J]. IEEE Transactions on Image Processing, 2013, 22(12):4652-4663. doi: 10.1109/TIP.2013.2277798
|
[36] |
STARCK J L, ELAD M, DONOHO D, et al.. Redundant multiscale transforms and their application for morphological component analysis[J]. J. Advances in Imaging and Electron Physics, 2004, 132:287-348. doi: 10.1016/S1076-5670(04)32006-9
|
[37] |
ZHANG Q, SHEN X Y, XU L, et al.. Rolling guidance filter[C]. Europ. Conf.Comput.Vision. Springer, 2014:815-830.
|
[38] |
YANG H, ZHU M, WU X T, et al.. Dictionary learning approach for image deconvolution with variance estimation[J]. Applied Optics, 201453(24):5677-5683. https://www.researchgate.net/publication/265057447_Dictionary_learning_approach_for_image_deconvolution_with_variance_estimation
|