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Computer Optics, 2016, Volume 40, Issue 2, Pages 266–274 (Mi co141)  

IMAGE PROCESSING, PATTERN RECOGNITION

Implementation of an algorithm for forming a color image from monochrome images of visible and near infrared cameras in the $YC_bC_r$ color space

I. S. Kholopovab

a Ryazan State Radio Engineering University, Ryazan, Russia
b Joint Stock Company Ryazan State Instrument-making Enterprise, Ryazan, Russia

Abstract: We consider a simplified algorithm for fusion of greyscale visible and thermal images presented in false colors in the de-correlated $YC_bC_r$ color space. The color gamut is then brought to daylight conditions using a color transfer algorithm that provides the same luminosity of the resulting gray fusion and color fusion images. It is shown that the parallel computing on the graphics card performs real-time video fusion with a frame size of up to $1024\times768$ pixels and a frame rate of 30 Hz.

Keywords: RGB, HSI, YUV and $YC_bC_r$ color spaces, infrared image, image fusion, false color, color transfer algorithm, histogram, and bilinear interpolation.

DOI: https://doi.org/10.18287/2412-6179-2016-40-2-266-274

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Full text: http://www.computeroptics.smr.ru/.../400218.html
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Received: 11.12.2015
Revised: 24.02.2016

Citation: I. S. Kholopov, “Implementation of an algorithm for forming a color image from monochrome images of visible and near infrared cameras in the $YC_bC_r$ color space”, Computer Optics, 40:2 (2016), 266–274

Citation in format AMSBIB
\Bibitem{Kho16}
\by I.~S.~Kholopov
\paper Implementation of an algorithm for forming a color image from monochrome images of visible and near infrared cameras in the $YC_bC_r$ color space
\jour Computer Optics
\yr 2016
\vol 40
\issue 2
\pages 266--274
\mathnet{http://mi.mathnet.ru/co141}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-2-266-274}


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