[1] MIKHAYLOV A, ZAKHAROVA M, VLNIESKA V et al. Inverted Hartmann mask made by deep X-ray lithography for single-shot multi-contrast X-ray imaging with laboratory setup[J]. Optics Express, 30, 8494(2022).

[2] PORTA R R À, STERCHI Y, SCHWANINGER A. How realistic is threat image projection for X-ray baggage screening？[J]. Sensors （Basel， Switzerland）, 22, 2220(2022).

[3] WU H D, GE Y S, NIU G D et al. Metal halide perovskites for X-ray detection and imaging[J]. Matter, 4, 144-163(2021).

[4] [4] 4高红霞， 吴丽璇， 徐寒， 等. 微焦点X射线图像乘性加性混合噪声的去除［J］. 光学 精密工程， 2014， 22（11）： 3100-3113. doi: 10.3788/ope.20142211.3100GAOH X， WUL X， XUH， et al. Denoising method of micro-focus X-ray images corrupted with mixed multiplicative and additive noises［J］. Opt. Precision Eng.， 2014， 22（11）： 3100-3113.（in Chinese）. doi: 10.3788/ope.20142211.3100

[5] [5] 5马鸽， 胡跃明， 高红霞， 等. 基于物理总能量目标函数的稀疏重建模型［J］. 物理学报， 2015， 64（20）： 204202. doi: 10.7498/aps.64.204202MAG， HUY M， GAOH X， et al. Physical total energy based objective function model for sparse reconstruction［J］. Acta Physica Sinica， 2015， 64（20）： 204202.（in Chinese）. doi: 10.7498/aps.64.204202

[6] WEN L, XIE X T, LI X Y et al. A new ensemble convolutional neural network with diversity regularization for fault diagnosis[J]. Journal of Manufacturing Systems, 62, 964-971(2022).

[7] REN D W, ZUO W M, ZHANG D et al. Simultaneous fidelity and regularization learning for image restoration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 284-299(2021).

[8] LU P, NADIA B, JIANG W et al. Blind image restoration enhances digital autoradiographic imaging of radiopharmaceutical tissue distribution[J]. Journal of Nuclear Medicine： Official Publication, 63, 591-597(2022).

[9] [9] 9曹学影， 王琳， 谭覃燕， 等. 自适应双刃边法模糊红外图像复原［J］. 光学 精密工程， 2022， 30（5）： 630-640. doi: 10.37188/OPE.20223005.0620CAOX Y， WANGL， TANQ Y， et al. Restoration of blurred infrared image by adaptive double edge method［J］. Opt. Precision Eng.， 2022， 30（5）： 630-640.（in Chinese）. doi: 10.37188/OPE.20223005.0620

[10] GAO F Y, DENG X, XU M et al. Multi-modal convolutional dictionary learning[J]. IEEE Transactions on Image Processing： a Publication of the IEEE Signal Processing Society, 31, 1325-1339(2022).

[11] DOGRA A, GOYAL B, AGRAWAL S. Bone vessel image fusion via generalized reisz wavelet transform using averaging fusion rule[J]. Journal of Computational Science, 21, 371-378(2017).

[12] LI X S, ZHOU F Q, TAN H S. Joint image fusion and denoising via three-layer decomposition and sparse representation[J]. Knowledge-Based Systems, 224, 107087(2021).

[13] DIWAKAR M, KUMAR M. A review on CT image noise and its denoising[J]. Biomedical Signal Processing and Control, 42, 73-88(2018).

[14] [14] 14彭天奇， 禹晶， 郭乐宁， 等. 基于跨尺度字典学习的图像盲解卷积算法［J］. 光学 精密工程， 2021， 29（2）： 338-348. doi: 10.37188/OPE.20212902.0338PENGT Q， YUJ， GUOL N， et al. Blind image deconvolution via cross-scale dictionary learning［J］. Opt. Precision Eng.， 2021， 29（2）： 338-348.（in Chinese）. doi: 10.37188/OPE.20212902.0338

[15] RUDIN L I, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithms[J]. Physica D： Nonlinear Phenomena, 60, 259-268(1992).

[16] REN D W, ZHANG H Z, ZHANG D et al. Fast total-variation based image restoration based on derivative alternated direction optimization methods[J]. Neurocomputing, 170, 201-212(2015).

[17] FIGUEIREDO M A T, NOWAK R D, WRIGHT S J. Gradient projection for sparse reconstruction： application to compressed sensing and other inverse problems[J]. IEEE Journal of Selected Topics in Signal Processing, 1, 586-597(2007).