[1] |
DEPEURDINGE C D, CUCHE E, MARQUET P, et al. Digital holography applied to microscopy[J]. Proceedings of the SPIE, 2002, 4659: 30-34. doi: 10.1117/12.469267 |
[2] |
GOLDSTEIN R M, ZEBKER H A, WERNER C L. Satellite radar interferometry: Two dimensional phase unwrapping[J]. Radio Science, 2016, 23(4): 713-720. |
[3] |
AREYALILLO-HERRAEZ M, VILLATORO F R, GDEISAT M A. A robust and simple measure for quality guided 2D phase unwrapping algorithms[J]. IEEE Transactions on Image Processing, 2016, 25(6): 2601-2609. doi: 10.1109/TIP.2016.2551370 |
[4] |
张睿, 严利平, 张海燕, 等. 基于枝切线和可靠度的区域增长相位解包裹算法[J]. 浙江理工大学学报(自然科学版), 2019, 41(4): 474-481. doi: 10.3969/j.issn.1673-3851(n).2019.04.010ZHANG R, YAN L P, ZHANG H Y, et al. Region-growing phase unwrapping algorithm based on branch-cuts and reliability[J]. Journal of Zhejiang Sci-Tech University(Natural Sciences Edition), 2019, 41(4): 474-481 (in Chinese). doi: 10.3969/j.issn.1673-3851(n).2019.04.010 |
[5] |
WANG X, FANG S, ZHU X. Weighted least-squares phase unwrapping algorithm based on a non-interfering image of an object[J]. Applied Optics, 2017, 56(15): 4543-4550. doi: 10.1364/AO.56.004543 |
[6] |
PATIL P, VYASARAYANI C P, RAMJI M. Linear least squares approach for evaluating crack tip fracture parameters using isochromatic and isoclinic data from digital photoelasticity[J]. Optics and Lasers in Engineering, 2017, 93(1): 182-194. |
[7] |
马树军, 方锐. 数字全息显微中的相位像差自动补偿算法[J]. 东北大学学报(自然科学版), 2020, 41(11): 1591-1595. doi: 10.12068/j.issn.1005-3026.2020.11.011MA Sh J, FANG R. Automatic compensation algorithm of phase aberration in digital holographic microscopy[J]. Journal of Northeastern University(Natural Science Edition), 2020, 41(11): 1591-1595 (in Chinese). doi: 10.12068/j.issn.1005-3026.2020.11.011 |
[8] |
王华英, 刘佐强, 廖薇, 等. 基于最小范数的四种相位解包裹算法比较[J]. 中国激光, 2014, 41(2): 209016.WANG H Y, LIU Z Q, LIAO W, et al. Compensation of four unwrapping algorithm based on method of minimum norm[J]. Chinese Journal of Lasers, 2014, 41(2): 209016 (in Chinese). |
[9] |
李盛林, 邓小芳, 王华英. 数字全息显微术中三种相位展开算法的比较研究[J]. 光学技术, 2020, 46(1): 56-60.LI Sh L, DENG X F, WANG H Y. Comparison of three kinds of phase unwrapping algorithm in digital holographic microscopy[J]. Optical Technique, 2020, 46(1): 56-60 (in Chinese). |
[10] |
李芹, 刘维, 王道档, 等. 基于二阶质量权的四向剪切相位解包裹算法[J]. 光电子·激光, 2018, 29(6): 618-626.LI Q, LIU W, WANG D D, et al. Four-direction least-square phase unwrapping algorithm based on shearing interferometry and second derivative of quality weight[J]. Journal of Optoelectronics · Lasers, 2018, 29(6): 618-626 (in Chinese). |
[11] |
左超, 冯世杰, 张翔宇, 等. 深度学习下的计算成像: 现状、挑战与未来[J]. 光学学报, 2020, 40(1): 0111003.ZUO Ch, FENG Sh J, ZHANG X Y, et al. Deep learning based computational imaging: Status, challenges, and future[J]. Acta Optica Sinica, 2020, 40(1): 0111003 (in Chinese). |
[12] |
邸江磊, 唐雎, 吴计, 等. 卷积神经网络在光学信息处理中的应用研究进展[J]. 激光与光电子学进展, 2021, 58(16): 1600001.DI J L, TANG S, WU J, et al. Research progress in the applications of convolutional neural networks in optical information processing[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1600001 (in Chinese). |
[13] |
WANG K Q, LI Y, QIAO K, et al. One-step robust deep learning phase unwrapping[J]. Optics Express, 2019, 27(10): 15100-15115. |
[14] |
常江, 管声启, 师红宇, 等. 基于改进生成对抗网络和MobileNetV3的带钢缺陷分类[J]. 激光与光电子学进展, 2021, 58(4): 0410016.CHANG J, GUAN Sh Q, SHI H Y, et al. Strip defect classification based on improved generative adversarial networks and MobileNetV3[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410016(in Chinese). |
[15] |
郑少佳, 邱崧, 李庆利, 等. 傅里叶变换通道注意力网络的胆管癌高光谱图像分割[J]. 中国图象图形学报, 2021, 26(8): 1836-1846.ZHENG Sh J, QIU S, LI Q L, et al. Fourier transform channel a-ttention network for cholangiocarcinoma hyperspectral image segmentation[J]. Journal of Image and Graphics, 2021, 26(8): 1836-1846 (in Chinese). |
[16] |
吴杰, 周皓, 吴丹, 等. 欠采样下相位解包裹算法的研究[J]. 激光与光电子学进展, 2016, 53(5): 051003.WU J, ZHOU H, WU D, et al. Study of phase unwrapping algorithm from the undersampled phase[J]. Laser & Optoelectronics Progress, 2016, 53(5): 051003 (in Chinese). |
[17] |
PANDEY N, GHOSH A, KHARE K. Two-dimensional phase unwrapping using the transport of intensity equation[J]. Applied Optics, 2016, 55(9): 2418-2425. |
[18] |
CHENG H, DENG H L, SHEN C, et al. Phase retrieval based on transport of intensity equation and image interpolation[J]. Infrared and Laser Engineering, 2018, 47(10): 356-362. |
[19] |
陈妮, 左超, Byoungho LEE. 基于深度测量的三维成像技术[J]. 红外与激光工程, 2019, 48(6): 199-233.CHEN N, ZUO Ch, LEE B. 3D imaging based on depth measurement[J]. Infrared and Laser Engineering, 2019, 48(6): 199-223 (in Chinese). |
[20] |
刘桂雄, 黄坚, 刘思洋, 等. 面向语义分割机器视觉的AutoML方法[J]. 激光杂志, 2019, 40(6): 1-9.LIU G X, HUANG J, LIU S Y, et al. AutoML method for semantic segmentation of machine vision[J]. Laser Journal, 2019, 40(6): 1-9(in Chinese). |
[21] |
JIA W, XIA W, ZHAO Y, et al. 2D and 3D palmprint and palm vein recognition based on neural architecture search[J]. International Journal of Automation and Computing, 2021, 18(3): 377-409. |
[22] |
肖文, 李解, 潘锋, 等. 基于USENet实现数字全息细胞再现相位像超分辨重构[J]. 光子学报, 2020, 49(6): 0610001.XIAO W, LI J, PAN F, et al. Super-revolution in digital holographic phase cell image based on USENet[J]. Acta Photonica Sinica, 2020, 49(6): 0610001 (in Chinese). |
[23] |
李宇豪, 吕晓琪, 谷宇, 等. 基于改进S3FD网络的人脸检测算法[J]. 激光技术, 2021, 45(6): 722-728.LI Y H, LV X Q, GU Y, et al. Face detection algorithm based on improved S3FD network[J]. Laser Technology, 2021, 45(6): 722-728(in Chinese). |
[24] |
王鑫. 基于深度学习的语义分割算法研究[D]. 上海: 上海海洋大学, 2021: 30-42.WANG X. Research on semantic segmentation algorithm based on deep learning[D]. Shanghai: Shanghai Ocean University, 2021: 30-42(in Chinese). |
[25] |
吴育民, 宋国庆, 冯云鹏, 等. 数字全息显微在医学影像中的发展与最新应用[J]. 影像科学与光化学, 2016, 34(1): 23-29.WU Y M, SONG G Q, FENG Y P, et al. Development and latest application of digital holographic microscopy in medical imaging[J]. Imaging Science and Photochemistry, 2016, 34(1): 23-29(in Chinese). |