Fusion algorithm of a sequence of different-range images for devices with electrically controlled lens

Sergey Mikhaylovich Borzov; Andrey Vecheslavovich Golitsyn; Oleg Iosifovich Potaturkin

doi:10.18287/2412-6179-2016-40-3-388-394

Fusion algorithm of a sequence of different-range images for devices with electrically controlled lens

Sergey Mikhaylovich Borzov, Andrey Vecheslavovich Golitsyn, Oleg Iosifovich Potaturkin

Computer Technology Section

Research output: Contribution to journal › Article › peer-review

Abstract

Methods for generating a synthesized image with increased depth of field from a sequence of real-time frames received by varying-range focusing using liquid optics are investigated. An algorithm based on constructing a map of ranges by analyzing a contrast pyramid and the weighed pixel-by-pixel summation of the initial images whose coefficients are proportional to the number of same-range pixels in each local neighborhood is developed.

Original language	English
Pages (from-to)	388-394
Number of pages	7
Journal	Computer Optics
Volume	40
Issue number	3
DOIs	https://doi.org/10.18287/2412-6179-2016-40-3-388-394
Publication status	Published - 1 May 2016

Keywords

Electrically controlled lens
Fusion algorithm
Image processing
Image reconstruction-restoration
Increased depth of field
Liquid lens

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10.18287/2412-6179-2016-40-3-388-394

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abstract = "Methods for generating a synthesized image with increased depth of field from a sequence of real-time frames received by varying-range focusing using liquid optics are investigated. An algorithm based on constructing a map of ranges by analyzing a contrast pyramid and the weighed pixel-by-pixel summation of the initial images whose coefficients are proportional to the number of same-range pixels in each local neighborhood is developed.",

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AB - Methods for generating a synthesized image with increased depth of field from a sequence of real-time frames received by varying-range focusing using liquid optics are investigated. An algorithm based on constructing a map of ranges by analyzing a contrast pyramid and the weighed pixel-by-pixel summation of the initial images whose coefficients are proportional to the number of same-range pixels in each local neighborhood is developed.

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KW - Fusion algorithm

KW - Image processing

KW - Image reconstruction-restoration

KW - Increased depth of field

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Fusion algorithm of a sequence of different-range images for devices with electrically controlled lens

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Keywords

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