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Suppression of Heterogeneous Environment Interference Using Multiple Cameras
It is proposed to use an estimate of the scene depth function, the knowledge of which allows restoration of an undistorted scene image, in the framework of the distorted image formation model specified by the Koshmieder equation. The method for estimating the scene depth is based on the registration...
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Published in: | Journal of communications technology & electronics 2021-12, Vol.66 (12), p.1470-1475 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | It is proposed to use an estimate of the scene depth function, the knowledge of which allows restoration of an undistorted scene image, in the framework of the distorted image formation model specified by the Koshmieder equation. The method for estimating the scene depth is based on the registration of a scene image by three identical cameras with a sufficiently large depth of field. Thus, the foreground, middle-ground, and background of the scene appear sharp and clear. The cameras are coaxially arranged at the vertices of a right-angled isosceles triangle, the plane of which is perpendicular to the shooting direction. A reconstruction method based on three observed images distorted by a heterogeneous environment is proposed. It is assumed that the distorted images bring information about an initial image, environment interference function, and sensor noise. The method for suppression of the interference explicitly solves the linear system of equations obtained from a quadratic objective function. The experimental reconstruction results obtained by the proposed method are presented and discussed. |
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ISSN: | 1064-2269 1555-6557 |
DOI: | 10.1134/S1064226921120111 |