Dual-wavelength in-line digital holography with untrained deep neural networks

查看全文 作　　者：CHEN [1]BAI;TONG [1,2]PENG;JUNWEI [1]MIN;RUNZE [1]LI;YUAN [1]ZHOU;BAOLI [1,3]YAO

机构地区：[1]State Key Laboratory of Transient Optics and Photonics,Xi’an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi’an 710119,China;[2]Xi’an Jiaotong University,Xi’an 710049,China;[3]Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao 266200,China

出　　处：《Photonics Research》索引2021年第9卷第12期,共10页

基　　金：National Natural Science Foundation of China(61905277,61975233);Key Research and Development Projects of Shaanxi Province(2020GY-008);Youth Innovation Promotion Association of the Chinese Academy of Sciences(2021401)。 摘　　要：Dual-wavelength in-line digital holography(DIDH)is one of the popular methods for quantitative phase imaging of objects with non-contact and high-accuracy features.Two technical challenges in the reconstruction of these objects include suppressing the amplified noise and the twin-image that respectively originate from the phase difference and the phase-conjugated wavefronts.In contrast to the conventional methods,the deep learning network has become a powerful tool for estimating phase information in DIDH with the assistance of noise suppressing or twin-image removing ability.However,most of the current deep learning-based methods rely on supervised learning and training instances,thereby resulting in weakness when it comes to applying this training to practical imaging settings.In this paper,a new DIDH network(DIDH-Net)is proposed,which encapsulates the prior image information and the physical imaging process in an untrained deep neural network.The DIDHNet can effectively suppress the amplified noise and the twin-image of the DIDH simultaneously by automatically adjusting the weights of the network.The obtained results demonstrate that the proposed method with robust phase reconstruction is well suited to improve the imaging performance of DIDH. 关键词：NEURAL NETWORKS NETWORK

相关文献

参考文献（40）
引证文献（10）
耦合文献（18）

参考文献(40)

引证文献(10)

耦合文献(18)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Dual-wavelength in-line digital holography with untrained deep neural networks

参考文献(40)

引证文献(10)

耦合文献(18)

用户提示