[1] Ruan J G, Cui H H, Huang Y H et al. A review of occluded objects detection in real complex scenarios for autonomous driving[J]. Green Energy and Intelligent Transportation, 2, 100092(2023).

[2] Ouardirhi Z, Ahmed Mahmoudi S, Zbakh M. A novel approach for recognizing occluded objects using feature pyramid network based on occlusion rate analysis[C](2023).

[3] Armanious K, Mecky Y, Gatidis S et al. Adversarial inpainting of medical image modalities[C], 3267-3271(2019).

[4] Chu J K, Ding X H, Chen Y T et al. Mueller-matrix characterization of sclerosing adenosis and invasive ductal carcinoma tissues[J]. Chinese Journal of Lasers, 51, 2107203(2024).

[5] Shi Z G, Zhang Y, Wang Q F et al. Polarization spatial frequency domain imaging system and phantom verification[J]. Chinese Journal of Lasers, 50, 0907104(2023).

[6] Liu W L, Jiang Y H, Li F T et al. Collaborative dual-harmonization reconstruction network for large-ratio cloud occlusion missing information in high-resolution remote sensing images[J]. Engineering Applications of Artificial Intelligence, 136, 108861(2024).

[7] Pan Y W, Chen J J, Sun L et al. Ocean sites calibration and water color retrieval for directional polarimetric camera[J]. Acta Optica Sinica, 44, 1801008(2024).

[8] Zeng H E, Huang S X. Research on spatial data interpolation based on Kriging interpolation[J]. Engineering of Surveying and Mapping, 16, 5-8, 13(2007).

[9] Telea A. An image inpainting technique based on the fast marching method[J]. Journal of Graphics Tools, 9, 23-34(2004).

[10] Pathak D, Krähenbühl P, Donahue J et al. Context encoders: feature learning by inpainting[C], 2536-2544(2016).

[11] Shamsolmoali P, Zareapoor M, Granger E. TransInpaint: transformer-based image inpainting with context adaptation[C], 849-858(2023).

[12] Levoy M, Hanrahan P. Light field rendering[C], 31-42(1996).

[13] Gershun A. The light field[J]. Journal of Mathematics and Physics, 18, 51-151(1939).

[14] Vaish V[M]. Synthetic aperture imaging using dense camera arrays(2007).

[15] Vaish V, Wilburn B, Joshi N et al. Using plane parallax for calibrating dense camera arrays[C](2004).

[16] Pei Z, Zhang Y N, Chen X D et al. Synthetic aperture imaging using pixel labeling via energy minimization[J]. Pattern Recognition, 46, 174-187(2013).

[17] Pei Z, Jin M, Zhang Y N et al. All-in-focus synthetic aperture imaging using generative adversarial network-based semantic inpainting[J]. Pattern Recognition, 111, 107669(2021).

[18] Yang M X, Zhao Y M, Zhu F X et al. Method of the image de-occlusion by using focal plane camera[J]. Chinese Journal of Liquid Crystals and Displays, 37, 494-500(2022).

[19] Wang W L, Gao X J, Bao C H et al. Reconstruction method for measured atmospheric polarization mode based on non-neighborhood constraint[J]. Laser & Optoelectronics Progress, 61, 1501001(2024).

[20] Bao C H, Gao X J, Wang W L et al. Atmospheric polarization pattern generation method combining high-frequency perception[J]. Journal of Electronic Measurement and Instrumentation, 38, 18-26(2024).

[21] Ma Y M, Wang X, Pu X K et al. Polarization image reconstruction method based on multi-view camera array[J]. Laser & Optoelectronics Progress, 61, 2211005(2024).

[22] Pan P F, Wang X, Yang T et al. High-similarity analytical model of skylight polarization pattern based on position variations of neutral points[J]. Optics Express, 31, 15189-15203(2023).

[23] Hu H F, Lin Y, Li X B et al. IPLNet: a neural network for intensity-polarization imaging in low light[J]. Optics Letters, 45, 6162-6165(2020).

[24] Zhou Z Q, Wang X, Yang T et al. Algorithm of target enhancement under shadow that combining polarization distance and color space[J]. Laser & Optoelectronics Progress, 60, 1210024(2023).

[25] Xiang Y F, Yang X, Ren Q M et al. Underwater polarization imaging recovery based on polarimetric residual dense network[J]. IEEE Photonics Journal, 14, 7860206(2022).

[26] Liu H D, Han Y L, Li X B et al. Polarization information restoration of underwater images based on deep neural network[J]. Acta Optica Sinica, 44, 1201006(2024).

[27] Liu F, Han P L, Wei Y et al. Deeply seeing through highly turbid water by active polarization imaging[J]. Optics Letters, 43, 4903-4906(2018).

[28] Schechner Y Y, Karpel N. Recovery of underwater visibility and structure by polarization analysis[J]. IEEE Journal of Oceanic Engineering, 30, 570-587(2005).

[29] Andreou A G, Kalayjian Z K. Polarization imaging: principles and integrated polarimeters[J]. IEEE Sensors Journal, 2, 566-576(2002).

[30] Shen J, Wang H B, Chen Z et al. Polarization calculation and underwater target detection inspired by biological visual imaging[J]. Sensors Transducers, 169, 33-41(2014).

[31] Lepcha D C, Goyal B, Dogra A et al. Image super-resolution: a comprehensive review, recent trends, challenges and applications[J]. Information Fusion, 91, 230-260(2023).

[32] Zhu J Y, Zhang R, Pathak D et al. Toward multimodal image-to-image translation[C], 465-476(2017).

[33] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 9351, 234-241(2015).

[34] Shen L, Jin J L, Zhang R X et al. RPG-palm: realistic pseudo-data generation for palmprint recognition[C], 19548-19559(2023).

[35] de Siqueira F R, Schwartz W R, Pedrini H. Multi-scale gray level co-occurrence matrices for texture description[J]. Neurocomputing, 120, 336-345(2013).

[36] Wang Y Q, Wu T H, Yang J G et al. DeOccNet: learning to see through foreground occlusions in light fields[C], 118-127(2020).

[37] Zhang S, Shen Z Q, Lin Y F. Removing foreground occlusions in light field using micro-lens dynamic filter[C], 1302-1308(2021).