Paper
8 February 2015 Increasing signal-to-noise ratio of reconstructed digital holograms by using light spatial noise portrait of camera's photosensor
Pavel A. Cheremkhin, Nikolay N. Evtikhiev, Vitaly V. Krasnov, Vladislav G. Rodin, Sergey N. Starikov
Author Affiliations +
Proceedings Volume 9406, Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques; 94060O (2015) https://doi.org/10.1117/12.2079077
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Digital holography is technique which includes recording of interference pattern with digital photosensor, processing of obtained holographic data and reconstruction of object wavefront. Increase of signal-to-noise ratio (SNR) of reconstructed digital holograms is especially important in such fields as image encryption, pattern recognition, static and dynamic display of 3D scenes, and etc. In this paper compensation of photosensor light spatial noise portrait (LSNP) for increase of SNR of reconstructed digital holograms is proposed. To verify the proposed method, numerical experiments with computer generated Fresnel holograms with resolution equal to 512×512 elements were performed. Simulation of shots registration with digital camera Canon EOS 400D was performed. It is shown that solo use of the averaging over frames method allows to increase SNR only up to 4 times, and further increase of SNR is limited by spatial noise. Application of the LSNP compensation method in conjunction with the averaging over frames method allows for 10 times SNR increase. This value was obtained for LSNP measured with 20 % error. In case of using more accurate LSNP, SNR can be increased up to 20 times.
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Pavel A. Cheremkhin, Nikolay N. Evtikhiev, Vitaly V. Krasnov, Vladislav G. Rodin, and Sergey N. Starikov "Increasing signal-to-noise ratio of reconstructed digital holograms by using light spatial noise portrait of camera's photosensor", Proc. SPIE 9406, Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 94060O (8 February 2015); https://doi.org/10.1117/12.2079077
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Signal to noise ratio

Digital holography

Holograms

3D image reconstruction

Cameras

Interference (communication)

Digital imaging

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