Linear methods for input scenes restoration from signals of optical-digital pattern recognition correlator

Sergey N. Starikov; Mikhail V. Konnik; Edward A. Manykin; Vladislav G. Rodin

doi:10.1117/12.818458

13 April 2009 Linear methods for input scenes restoration from signals of optical-digital pattern recognition correlator

Sergey N. Starikov, Mikhail V. Konnik, Edward A. Manykin, Vladislav G. Rodin

Author Affiliations +

Proceedings Volume 7340, Optical Pattern Recognition XX; 73400B (2009) https://doi.org/10.1117/12.818458
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Linear methods of restoration of input scene's images in optical-digital correlators are described. Relatively low signal to noise ratio of a camera's photo sensor and extensional PSF's size are special features of considered optical-digital correlator. RAW-files of real correlation signals obtained by digital photo sensor were used for input scene's images restoration. It is shown that modified evolution method, which employs regularization by Tikhonov, is better among linear deconvolution methods. As a regularization term, an inverse signal to noise ratio as a function of spatial frequencies was used. For additional improvement of restoration's quality, noise analysis of boundary areas of the image to be reconstructed was performed. Experimental results on digital restoration of input scene's images are presented.

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Sergey N. Starikov, Mikhail V. Konnik, Edward A. Manykin, and Vladislav G. Rodin "Linear methods for input scenes restoration from signals of optical-digital pattern recognition correlator", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400B (13 April 2009); https://doi.org/10.1117/12.818458

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