Fast 3D digital holography tomography based on dynamic compressive sensing

Senlin Jin; Yuan Xu; Chongxia Zhong; Wei Liang; Yan Huang; Hejun Yao

doi:10.1117/12.2505208

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12 December 2018 Fast 3D digital holography tomography based on dynamic compressive sensing

Senlin Jin, Yuan Xu, Chongxia Zhong, Wei Liang, Yan Huang, Hejun Yao

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Proceedings Volume 10845, Three-Dimensional Image Acquisition and Display Technology and Applications; 108450I (2018) https://doi.org/10.1117/12.2505208
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

As a high-resolution, non-destructive internal structure three-dimensional imaging technology, digital holographic microscopy tomography can provide advanced and safe detection technologies and research tools for the development of high-tech such as life sciences, clinical medicine, and new materials. In order to reduce the reconstruction time and improve the quality of reconstruction, the compressive sensing theory is applied to holographic imaging. Compressive holography technology can not only achieve the tomographic reconstruction of objects from a small amount of holographic data, but also solve the problem of crosstalk between the layer and the layer and the elimination of noise in the tomographic reconstruction process, and the effect is particularly obvious. In this paper, the dynamic compressive sensing theory is applied to the field of three-dimensional digital holographic microscopy, which is different from the fixed sampling method used in the general compressive holographic imaging. It achieved fast 3D digital holography and improved axial resolution. We obtained holographic tomography images at a sampling rate of 6.25%, doubling the axial resolution without loss of reproduction image resolution.

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Senlin Jin, Yuan Xu, Chongxia Zhong, Wei Liang, Yan Huang, and Hejun Yao "Fast 3D digital holography tomography based on dynamic compressive sensing", Proc. SPIE 10845, Three-Dimensional Image Acquisition and Display Technology and Applications, 108450I (12 December 2018); https://doi.org/10.1117/12.2505208

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