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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 3, Iss. 8 — Aug. 10, 2005
  • pp: 448–450

Transfer color to night vision images

Shaoyuan Sun, Zhongliang Jing, Gang Liu, and Zhenhua Li  »View Author Affiliations


Chinese Optics Letters, Vol. 3, Issue 8, pp. 448-450 (2005)


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Abstract

Natural color appearance is the key problem of color night vision field. In this paper, the color mood of daytime color image is transferred to the monochromic night vision image. This method gives the night image a natural color appearance. For each pixel in the night vision image, the best matching pixel in the color image is found based on texture similarity measure. Entropy, energy, contrast, homogeneity, and correlation features based on co-occurrence matrix are combined as texture similarity measure to find the corresponding pixels between the two images. We use a genetic algorithm (GA) to find the optimistic weighting factors assigned to the five different features. GA is also employed in searching the matching pixels to make the color transfer algorithm faster. When the best matching pixel in the color image is found, the chromaticity values are transferred to the corresponding pixel of the night vision image. The experiment results demonstrate the efficiency of this natural color transfer technique.

© 2005 Chinese Optics Letters

OCIS Codes
(040.3060) Detectors : Infrared
(040.3780) Detectors : Low light level
(100.0100) Image processing : Image processing
(100.2980) Image processing : Image enhancement

Citation
Shaoyuan Sun, Zhongliang Jing, Gang Liu, and Zhenhua Li, "Transfer color to night vision images," Chin. Opt. Lett. 3, 448-450 (2005)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-3-8-448


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