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Optical Engineering

Objective color harmony assessment for visible and infrared color fusion images of typical scenes
Author(s): Shaoshu Gao; Weiqi Jin; Lingxue Wang
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Paper Abstract

For visible and infrared color fusion images of three typical scenes, color harmony computational models are proposed to evaluate the color quality of fusion images without reference images. The models are established based on the color-combination harmony model and focus on the influence of the color characteristics of typical scenes and the color region sizes in the fusion image. For the influence of the color characteristics of typical scenes, color harmony adjusting factors for natural scene images (green plants, sea, and sky) are defined by measuring the similarity between image colors and corresponding memory colors, and that for town and building images are presented based on the optimum colorfulness range suited for a human. Simultaneously, considering the influence of color region sizes, the weight coefficients are established using areas of the color regions to optimize the color harmony model. Experimental results show that the proposed harmony models are consistent with human perception and that they are suitable to evaluate the color harmony for color fusion images of typical scenes.

Paper Details

Date Published: 9 November 2012
PDF: 9 pages
Opt. Eng. 51(11) 117004 doi: 10.1117/1.OE.51.11.117004
Published in: Optical Engineering Volume 51, Issue 11
Show Author Affiliations
Shaoshu Gao, Beijing Institute of Technology (China)
Weiqi Jin, Beijing Institute of Technology (China)
Lingxue Wang, Beijing Institute of Technology (China)


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