High SBP compressive holography with an efficient block-wise model

Hua Zhang; Liangcai Cao; Wenhui Zhang; Hao Zhang; Guofan Jin

doi:10.1117/12.2299650

19 February 2018 High SBP compressive holography with an efficient block-wise model

Hua Zhang, Liangcai Cao, Wenhui Zhang, Hao Zhang, Guofan Jin

Proceedings Volume 10557, Ultra-High-Definition Imaging Systems; 1055711 (2018) https://doi.org/10.1117/12.2299650
Event: SPIE OPTO, 2018, San Francisco, California, United States

Abstract

High space-bandwidth product (SBP) imaging platform is an indispensable technique in diverse research fields, particularly in medical imaging and diagnosis. Because of the scale-dependent geometric aberrations of optical elements and the limited number of pixels of image sensor, high resolution and large field of view are hard to be realized simultaneously in traditional imaging systems. Compared with off-axis holography, in-line lens-less holography could maintain high SBP without an imaging lens. Compressive holography (CH), which combines compressive sensing and in-line lens-less holography, is considered as a promising solution for high SBP three-dimensional imaging. We developed a high SBP three-dimensional imaging algorithm using CH based on total-variation sparsity constraint. An efficient block-wise CH algorithm is proposed to reduce the reconstruction time. The block-wise model could locate accurate reconstruction searching spaces, resulting in high convergence speed and high image contrast.

Citation Download Citation

Hua Zhang, Liangcai Cao, Wenhui Zhang, Hao Zhang, and Guofan Jin "High SBP compressive holography with an efficient block-wise model", Proc. SPIE 10557, Ultra-High-Definition Imaging Systems, 1055711 (19 February 2018); https://doi.org/10.1117/12.2299650

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