
Proceedings Paper
Real-time color transfer system for low-light level visible and infrared images in YUV color spaceFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
A real-time color transfer system based on 3 pieces of multi-media DSP TM1300 for low-light level
visible(LLLV) and infrared(IR) images is built. Computing quantity is split among three TM13003. Two pieces of
TM1300 preprocess the dual-band images and calculate their mean and standard deviation respectively. The third
TM1300 executes fusion and color transfer in YUV space: Firstly the two preprocessed images are fused into one
primary color image(source image) in which hot targets present warm color, cold targets present cool color. Then the
mean and standard deviation of source images in Y, U, V components are deduced by preprocessed images pixel value
and their mean and standard deviation. Finally, the Y, U and V component of source image are scale by the variation ratio
of a day-time color image(target image) to the source image. The color and luminance distribution of the target image is
transferred into source image and makes it present a sort of day-time color appearance. Comparing to the usually used
l&agr;&bgr; space, color transfer in YUV space can avoid iterative color space transformation, logarithmic and exponential
calculation, and thus be effective in real-time realization while the color transferred results are acceptable.
Paper Details
Date Published: 15 May 2007
PDF: 8 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671G (15 May 2007); doi: 10.1117/12.719364
Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)
PDF: 8 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671G (15 May 2007); doi: 10.1117/12.719364
Show Author Affiliations
Lingxue Wang, Beijing Institute of Technology (China)
Yuanmeng Zhao, Beijing Institute of Technology (China)
Weiqi Jin, Beijing Institute of Technology (China)
Yuanmeng Zhao, Beijing Institute of Technology (China)
Weiqi Jin, Beijing Institute of Technology (China)
Shiming Shi, Beijing Institute of Technology (China)
Shengxiang Wang, Beijing Institute of Technology (China)
Shengxiang Wang, Beijing Institute of Technology (China)
Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)
© SPIE. Terms of Use
