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This article is cited in 7 scientific papers (total in 7 papers)
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.
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
Linking options:
https://www.mathnet.ru/eng/co141 https://www.mathnet.ru/eng/co/v40/i2/p266
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Abstract page: | 198 | Full-text PDF : | 89 | References: | 34 |
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