Color-quality subjective evaluation for color fusion images of typical scenes based on color harmony

Yu Su, Shaoshu Gao, Weiqi Jin*, Xiaoting Jia, Dingping Pan, Jiani Liu, Kaijia Jin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Color night vision technology is the current forefront in night vision technology field. How to achieve an objective evaluation of color image quality for night vision is still a problem. A new subjective visual evaluation experiment on color harmony was designed and conducted in accordance with the international standards for the underrepresentation problem of the last experiment pointed out by Gao Shaoshu, a BIT doctor. The color fusion images tested for subjective evaluation in the new experiment were divided into three types of typical sceneries: green plants, sea to sky, and urban buildings; experimental subjects were increased to 52. The regression analysis of the experiment results shows that in the three types of sceneries, the assessment model proposed by Gao Shaoshu is in relatively good consistency with the subjective evaluation results, and can be used to make an effective objective evaluation of color fusion images' color harmony in different sceneries.

Original languageEnglish
Pages (from-to)3767-3774
Number of pages8
JournalHongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
Volume43
Issue number11
Publication statusPublished - 25 Nov 2014

Keywords

  • Color fusion image
  • Color harmony
  • Color quality
  • Objective evaluation
  • Subjective evaluation

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