Paper
5 March 2008 Color night vision based on color transfer in YUV color space
Shiming Shi, Lingxue Wang, Wei-qi Jin, Yuanmeng Zhao
Author Affiliations +
Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230B (2008) https://doi.org/10.1117/12.791275
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
To obtain a color night vision image, we proposed a color transfer algorithm in YUV color space based on the color transfer algorithm in lαβ color space which Reinhard proposed. After rendering the simple statistics (means and standard deviations) of the target image to the source image, the color appearance of the target image is transferred to the source image. 2D chromatic histogram (UV histogram) which can help to find an appropriate target image is established. Finally, we illustrated several examples of color transfer to multi-band fused images which are fused in MIT fusion scheme. After a color fused image is obtained, the color transfer is executed to render the color information of the target image to the fusion image. The final image could have a day-like color appearance. Besides, the algorithm has less operation than which in lαβ color space because of less transform complexity. It can be realized in real time in digital signal processors without color space transformation between RGB and YUV.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiming Shi, Lingxue Wang, Wei-qi Jin, and Yuanmeng Zhao "Color night vision based on color transfer in YUV color space", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230B (5 March 2008); https://doi.org/10.1117/12.791275
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Cited by 9 scholarly publications and 1 patent.
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KEYWORDS
Image fusion

Night vision

Ultraviolet radiation

RGB color model

Infrared imaging

Signal processing

Detection and tracking algorithms

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