[1] D. Gabor. A new microscopic principle. Nature, 161, 777-778(1948).

[2] G. Popescu, T. Ikeda, K. Goda, C. A. Best-Popescu, M. Laposata, S. Manley, R. R. Dasari, K. Badizadegan, M. S. Feld. Optical measurement of cell membrane tension. Phys. Rev. Lett., 97, 218101(2006).

[3] M. Kim. Digital holographic microscopy. Digital Holographic Microscopy: Principles, Techniques, and Application, 162(2011).

[4] H. Wang, M. Lyu, G. Situ. eHoloNet: a learning-based end-to-end approach for in-line digital holographic reconstruction. Opt. Express, 26, 22603-22614(2018).

[5] J. L. Almeida, E. Comunello, A. Sobieranski, A. M. da R. Fernandes, G. S. Cardoso. Twin-image suppression in digital in-line holography based on wave-front filtering. Pattern Anal. Appl., 24, 907-914(2021).

[6] J. Min, M. Zhou, X. Yuan, K. Wen, X. Yu, T. Peng, B. Yao. Optical thickness measurement with single-shot dual-wavelength in-line digital holography. Opt. Lett., 43, 4469-4472(2018).

[7] J. Nadeau, Y. Park, G. Popescu. Methods in quantitative phase imaging in life science. Methods, 136, 1-3(2018).

[8] S. Y. Tong, H. Li, H. Huang. Energy extension in three-dimensional atomic imaging by electron emission holography. Phys. Rev. Lett., 67, 3102-3105(1991).

[9] M. Shan, L. Liu, Z. Zhong, B. Liu, G. Luan, Y. Zhang. Single-shot dual-wavelength off-axis quasi-common-path digital holography using polarization-multiplexing. Opt. Express, 25, 26253-26261(2017).

[10] Y. Lee, Y. Ito, T. Tahara, J. Inoue, P. Xia, Y. Awatsuji, K. Nishio, S. Ura, O. Matoba. Single-shot dual-wavelength phase unwrapping in parallel phase-shifting digital holography. Opt. Lett., 39, 2374-2377(2014).

[11] J. Gass, A. Dakoff, M. K. Kim. Phase imaging without 2π ambiguity by multiwavelength digital holography. Opt. Lett., 28, 1141-1143(2003).

[12] D. G. Abdelsalam, R. Magnusson, D. Kim. Single-shot dual-wavelength digital holography based on polarizing separation. Appl. Opt., 50, 3360-3368(2011).

[13] A. Khmaladze, R. L. Matz, C. Zhang, T. Wang, M. M. B. Holl, Z. Chen. Dual-wavelength linear regression phase unwrapping in three-dimensional microscopic images of cancer cells. Opt. Lett., 36, 912-914(2011).

[14] D. G. Abdelsalam, D. Kim. Two-wavelength in-line phase-shifting interferometry based on polarizing separation for accurate surface profiling. Appl. Opt., 50, 6153-6161(2011).

[15] Y. Shechtman, Y. C. Eldar, O. Cohen, H. N. Chapman, J. Miao, M. Segev. Phase retrieval with application to optical imaging: a contemporary overview. IEEE Signal Process. Mag., 32, 87-109(2015).

[16] T. Latychevskaia, H.-W. Fink. Solution to the twin image problem in holography. Phys. Rev. Lett., 98, 233901(2007).

[17] S. M. F. Raupach. Cascaded adaptive-mask algorithm for twin-image removal and its application to digital holograms of ice crystals. Appl. Opt., 48, 287-301(2009).

[18] W. Zhang, L. Cao, D. J. Brady, H. Zhang, J. Cang, H. Zhang, G. Jin. Twin-image-free holography: a compressive sensing approach. Phys. Rev. Lett., 121, 93902-93907(2018).

[19] C. Bai, M. Zhou, J. Min, S. Dang, X. Yu, P. Zhang, T. Peng, B. Yao. Robust contrast-transfer-function phase retrieval via flexible deep learning networks. Opt. Lett., 44, 5141-5144(2019).

[20] X. Zhang, Y. Chen, K. Ning, C. Zhou, Y. Han, H. Gong, J. Yuan. Deep learning optical-sectioning method. Opt. Express, 26, 30762-30772(2018).

[21] Y. Rivenson, Y. Zhang, H. Günaydın, D. Teng, A. Ozcan. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light Sci. Appl., 7, 17141(2018).

[22] K. Zhang, W. Zuo, Y. Chen, D. Meng, L. Zhang. Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans. Image Process., 26, 3142-3155(2017).

[23] Y. Romano, M. Elad, P. Milanfar. The little engine that could: regularization by denoising (RED). SIAM J. Imaging Sci., 10, 1804-1844(2017).

[24] F. Wang, Y. Bian, H. Wang, M. Lyu, G. Pedrini, W. Osten, G. Barbastathis, G. Situ. Phase imaging with an untrained neural network. Light Sci. Appl., 9, 77(2020).

[25] D. Ulyanov, A. Vedaldi, V. Lempitsky. Deep image prior. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2018).

[26] Y. Gandelsman, A. Shocher, M. Irani. Double-DIP’: unsupervised image decomposition via coupled deep-image-priors. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11026-11035(2019).

[27] H. Li, X. Chen, Z. Chi, C. Mann, A. Razi. Deep DIH: single-shot digital in-line holography reconstruction by deep learning. IEEE Access, 8, 202648-202659(2020).

[28] R. Heckel, P. Hand. Deep decoder: concise image representations from untrained non-convolutional networks(2019).

[29] J. Min, B. Yao, P. Gao, R. Guo, B. Ma, J. Zheng, M. Lei, S. Yan, D. Dan, T. Duan. Dual-wavelength slightly off-axis digital holographic microscopy. Appl. Opt., 51, 191-196(2012).

[30] D. J. Brady, K. Choi, D. L. Marks, R. Horisaki, S. Lim. Compressive holography. Opt. Express, 17, 13040-13049(2009).

[31] H. Zhang, L. Cao, H. Zhang, W. Zhang, G. Jin, D. J. Brady. Efficient block-wise algorithm for compressive holography. Opt. Express, 25, 24991-25003(2017).

[32] C. Bai, C. Liu, H. Jia, T. Peng, J. Min, M. Lei, X. Yu, B. Yao. Compressed blind deconvolution and denoising for complementary beam subtraction light-sheet fluorescence microscopy. IEEE Trans. Biomed. Eng., 66, 2979-2989(2019).

[33] Q. Huynh-Thu, M. Ghanbari. Scope of validity of PSNR in image/video quality assessment. Electron. Lett., 44, 800-802(2008).

[34] Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli. Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process., 13, 600-612(2004).

[35] O. Ronneberger, P. Fischer, T. Brox. U-Net: convolutional networks for biomedical image segmentation. Conference on Medical Image Computing and Computer-Assisted Intervention(2015).

[36] X. Liu, M. Tanaka, M. Okutomi. Single-image noise level estimation for blind denoising. IEEE Trans. Image Process., 22, 5226-5237(2013).

[37] F. Crete, N. Nicolas. The blur effect: perception and estimation with a new no-reference perceptual blur metric. Proc. SPIE, 6492, 64920I(2007).

[38] J. Min, B. Yao, V. Trendafilova, S. Ketelhut, L. Kastl, B. Greve, B. Kemper. Quantitative phase imaging of cells in a flow cytometry arrangement utilizing Michelson interferometer-based off-axis digital holographic microscopy. J. Biophoton., 12, e201900085(2019).

[39] Y. Yao, B. Abidi, N. Doggaz, M. Abidi. Evaluation of sharpness measures and search algorithms for the auto focusing of high-magnification images. Proc. SPIE, 6246, 62460G(2006).

[40] J. Lim, A. B. Ayoub, D. Psaltis, M. Abidi. Three-dimensional tomography of red blood cells using deep learning. Adv. Photonics, 2, 026001(2020).