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可见光与红外灰度融合图像感知对比度客观评价

Translated title of the contribution: Perceptual Contrast Metric for Visible and Infrared Gray Fusion Images
  • Shao Shu Gao
  • , Xiao Dong Zhang*
  • , Wei Qi Jin
  • *Corresponding author for this work
  • China University of Petroleum (East China)
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

To evaluate the fusion image quality scientifically for fusion technology research and equipment applications, image contrast was taken as an important quality metric of dual-band gray fusion images. To solve the problem in the existing contrast metrics, unconsidering human visual system and affecting coherence between the predictions and the human perceptions, an objective perceptual contrast metric was proposed based on isotropic local contrast model as well as the introduction of the human luminance masking effect. The simulated gray images and the observer evaluation scores for 15 groups of real scene gray fusion images were used to test the proposed model. Experimental results show that the proposed perceptual contrast metric is more closely matched to the human vision perception than existing methods and can evaluate the dual-band gray fusion image perceptual contrast effectively.

Translated title of the contributionPerceptual Contrast Metric for Visible and Infrared Gray Fusion Images
Original languageChinese (Traditional)
Pages (from-to)715-720
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume38
Issue number7
DOIs
Publication statusPublished - 1 Jul 2018
Externally publishedYes

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