[1] 李俊山, 杨威, 张雄美. 红外图像处理、分析与融合［M］. 北京: 科学出版社, 2009.

    Li J S, Yang W, Zhang X M. Infrared image processing, analysis and fusion［M］. Beijing: Science Press, 2009.

[2] 温海滨, 毕笃彦, 马时平, 等. 消除阶梯效应与增强细节的变分Retinex红外图像增强算法［J］. 光学学报, 2016, 36(9): 0911005.

    Wen H B, Bi D Y, Ma S P, et al. Variational Retinex algorithm for infrared image enhancement with staircase effect suppression and detail enhancement［J］. Acta Optica Sinica, 2016, 36(9): 0911005.

[3] 王兵元, 陈玮婷, 马文娟, 等. 基于非负约束L1-范数正则化的乳腺扩散光学层析成像重建方法［J］. 光学学报, 2016, 36(11): 1117002.

    Wang B Y, Chen W T, Ma W J, et al. Reconstruction method of breast diffuse optical tomography based on non-negative-constraint L1-norm regularization［J］. Acta Optica Sinica, 2016, 36(11): 1117002.

[4] 曹嘉豪, 李春来, 金健, 等. 超分辨率重建算法在热红外图像中的应用［J］. 红外, 2016, 37(5): 27-32.

    Cao J H, Li C L, Jin J, et al. Application of super resolution reconstruction algorithm in thermal infrared image［J］. Infrared, 2016, 37(5): 27-32.

[5] Hong M C, Kang M G, Katsaggelos A K. A regularized multi-channel restoration approach for globally optimal high resolution video sequence［J］. Proceedings of SPIE, 1997, 3024: 1306-1316.

[6] Capel D, Zisserman A. Super-resolution enhancement of text image sequences［C］∥Proceedings 15th International Conference on Pattern Recognition, 2000: 600-605.

[7] Ng M K, Shen H, Lam E Y, et al. A total variation regularization based super-resolution reconstruction algorithm for digital video［J］. EURASIP Journal on Advances in Signal Processing, 2007: 074585.

[8] Yuan Q, Zhang L, Shen H. Multi-frame super-resolution employing a spatially weighted variation model［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(3): 379-392.

[9] 邓承志, 田伟, 汪胜前, 等. 近似稀疏正则化的红外图像超分辨率重建［J］. 光学 精密工程, 2014, 22(6): 1648-1654.

    Deng C Z, Tian W, Wang S Q, et al. Super-resolution reconstruction of approximate sparsity regularized infrared images［J］. Optics and Precision Engineering, 2014, 22(6): 1648-1654.

[10] 闫敬文, 谢婷婷, 彭鸿, 等. 基于L0范数正则项的运动图像去模糊［J］. 激光与光电子学进展, 2017, 54(2): 021005.

    Yan J W, Xie T T, Peng H, et al. Motion image deblurring based on L0 norms regularization term［J］. Laser & Optoelectronics Progress, 2017, 54(2): 021005.

[11] Bredies K, Kunisch K, Pock T. Total generalized variation［J］. SIAM Journal of Imaging Sciences, 2010, 3(3): 492-526.

[12] Knoll F, Bredies K, Pock T, et al. Second order total generalized variation (TGV) for MRI［J］. Magnetic Resonance in Medicine, 2011, 65(2): 480-491.

[13] Xu J, Feng X, Hao Y, et al. Image decomposition using adaptive second-order total generalized variation［J］. Signal, Image and Video Processing, 2014, 8(1): 39-47.

[14] 许建楼, 冯象初, 郝岩. 自适应二阶总广义变分图像恢复方法［J］. 光电子·激光, 2013, 24(2): 378-383.

    Xu J L, Feng X C, Hao Y. Image restoration method with adaptive second order total generalized variation［J］. Journal of Optoelectronics·Laser, 2013, 24(2): 378-383.

[15] Bredies K, Valkonen T. Inverse problems with second-order total generalized variation constraints［EB/OL］. (2011-06-28)［2017-10-01］. http:∥tuomov.iki.fi/mathematics/SampTA2011.pdf.

[16] Frestl D, Reinbacher C, Ranftl R, et al. Image guided depth up-sampling using anisotropic total generalized variation［C］∥IEEE International Conference on Computer Vision, 2013: 993-1000.

[17] 刘孝艳, 冯象初. 对称张量空间下高阶正则化的图像恢复模型［J］. 计算机科学, 2013, 40(11A): 359-362.

    Liu X Y, Feng X C. High-order regularization model for image denoising in symmetric tensor space［J］. Computer Science, 2013, 40(11A): 359-362.

[18] 张煜林, 孔慧华, 潘晋孝, 等. 基于Split-Bregman算法的能谱计算机层析图像重建［J］. 光学学报, 2017, 37(4): 0411003.

    Zhang Y L, Kong H H, Pan J X, et al. Spectral computed tomographic image reconstruction based on Split-Bregman algorithm［J］. Acta Optica Sinica, 2017, 37(4): 0411003.

[19] Warren R E, Osher S J. Hyperspectral unmixing by the alternating direction method of multipliers［J］. Inverse Problems and Imaging, 2017, 9(3): 917-933.

[20] Boyd S, Parikh N, Chu E, et al. Distributed optimization and statistical learning via the alternating direction method of multipliers［J］. Foundations and Trends in Machine Learning, 2011, 3(1): 1-122.

[21] He R, Zheng W S, Tan T N, et al. Half-quadratic-based iterative minimization for robust sparse representation［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(2): 261-275.

[22] Guitton A, Symes W W. Robust and stable velocity analysis using the Huber function［J］. SEG Technical Program Expanded Abstracts, 1999, 18(1): 1166-1169.