[1] 张峥嵘,黄丽丽,费选,等. 非局部TV正则化的图像泊松去噪模型与算法[J]. 系统仿真学报,2014,26(9):2110-2115. (ZHANG Z R, HUANG L L, FEI X, et al. Image Possion denoising model and algorithm based on nonlocal TV regularization[J]. Journal of System Simulation, 2014, 26(9):2110-2115.) [2] 胡学刚,李妤. 基于分数阶变分的图像泊松去噪模型[J]. 计算机应用,2013,33(4):1100-1102. (HU X G, LI Y. Improved image Possion denoising model based on fractional variation[J]. Journal of Computer Applications, 2013, 33(4):1100-1102.) [3] BUADES A, COLL B, MOREL J-M. A review of image denoising algorithm, with a new one[J]. SIAM Journal on Multiscale Modeling and Simulation:A SIAM Interdisciplinary Journal, 2005, 4(2):490-530. [4] BUADES A, COLL B, MOREL J-M. Non-local image and movie denoising[J]. International Journal of Computer Vision, 2007, 76(2):123-139. [5] 杨爱萍,田玉珍,何宇清,等.基于改进K-SVD和非局部正则化的图像去噪[J].计算机工程,2015,41(5):249-253. (YANG A P, TIAN Y Z, HE Y Q, et al. Image denoising based on improved K-SVD and non-local regularization[J]. Computer Engineering, 2015, 5:249-253.) [6] 费选,违志辉,肖亮,等.优化加权TV的复合正则化压缩感知图像重建[J].中国图象图形学报,2014,19(2):211-218. (FEI X, WEI Z H, XIAO L, et al. Compound regularized compressed sensing image reconstruction based on optimal reweighted TV[J]. Journal of Image and Graphics, 2014, 19(2):211-218.) [7] 耿海, 何小卫, 樊骏笠. 基于可变指数及L1保真项的图像去噪算法[J].计算机应用,2013,33(10):2931-2934. (GENG H, HE X W, FAN J L. Image denoising algorithm with variable exponent regularization and L1 fidelity[J]. Journal of Computer Applications, 2013, 33(10):2931-2934.) [8] 史加荣, 郑秀云,杨威.不完全鲁棒主成分分析的正则化方法及其在背景建模中的应用[J].计算机应用,2015,35(10):2824-2827. (SHI J R, ZHENG X Y, YANG W. Regularized approach for incomplete robust principal component analysis and its application in background modeling[J]. Journal of Computer Applications, 2015, 35(10):2824-2827.) [9] 刘红丽,刘伟锋,王延江.Hessian正则化Logistic回归模型[J].计算机工程与应用,2016,52(5):236-240. (LIU H L, LIU W F, WANG Y J. Hessian regularized logistic regression[J]. Computer Engineering and Applications, 2016, 52(5):236-240.) [10] 冀常鹏, 姬红红, 郭伟平. 变阶变正则化APA在回声抵消中的应用[J].计算机工程与应用,2014,50(15):168-171. (JI C P, JI H H, GUO W P. APA with evolving order and variable regularization for echo cancellation[J]. Computer Engineering and Applications, 2014, 50(15):168-171.) [11] TIKHONOV A N, ARSENIN V Y. Solutions of ill-posed problems[J]. Mathematics and Computation, 1978, 32(144):1320-1322. [12] RUDIN L I, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithms[J]. Physica D:Nolinear Phenomena, 1992, 60(1/2/3/4):259-268. [13] SELESNICK I W, PAREKH A, BAYRAM I. Convex 1-D total variation denoising with non-convex regularization[J]. IEEE Signal Processing Letters, 2015, 22(2):141-144. [14] SUTOUR C, DELEDALLE C-A, AUJOL J-F. Adaptive regularization of the NL-means:application to image and video denoising[J]. IEEE Transaction on Image Processing, 2014, 23(8):3506-3521. [15] FARSIU S, ROBINSON D, ELAD M, et al. Fast and robust multiframe super resolution[J]. IEEE Transactions on Image Processing, 2004, 13(10):1327-1344. [16] FARSIU S, ROBINSON D, ELAD M, et al. Robust shift and add approach to superresolution[C]//Proceeding of SPIE International Conference on Applications of Digital Signal and Image Processing XXVI, SPIE 5203. Bellingham, WA:SPIE, 2003:121-130. [17] DELEDALLE C-A, DUVAL V, SALMON J. Non-Local Methods with Shape-Adaptive Patches (NLM-SAP)[J]. Journal of Mathematical Imaging and Vision, 2011, 43(2):103-120. [18] DELEDALLE C A, DENIS L, TUPIN F, et al. NL-SAR:a unified non-local framework for resolution-preserving in SAR denoising[J]. IEEE Transaction on Geoscience and Remote Sensing, 2015, 53(4):2021-2038. [19] GUO L, HE X H, CHEN W L, et al. A pioneering video-to-video super-resolution reconstruction algorithm based on segmentation and space-time regularization[J]. The Imaging Science Journal, 2014, 62(4):236-250. |