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Perceived assessment metrics for visible and infrared color fused image quality without reference image

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Abstract

Designing objective quality assessment of color-fused image is a very demanding and challenging task. We propose four no-reference metrics based on human visual system characteristics for objectively evaluating the quality of false color fusion image. The perceived edge metric (PEM) is defined based on visual perception model and color image gradient similarity between the fused image and the source images. The perceptual contrast metric (PCM) is established associating multi-scale contrast and varying contrast sensitivity filter (CSF) with color components. The linear combination of the standard deviation and mean value over the fused image construct the image colorfulness metric (ICM). The color comfort metric (CCM) is designed by the average saturation and the ratio of pixels with high and low saturation. The qualitative and quantitative experimental results demonstrate that the proposed metrics have a good agreement with subjective perception.

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Acknowledgments

The authors would like to thank Chao Zuo for polishing the grammar. This work was supported by National Natural Science Foundation of China (Grant No. 61101119) and the Natural Science Foundation of Jiangsu province of China (Grant No. BK2011698). Many thanks to Alexander Toet and the TNO Human Factors Research Institute for providing the source visible and IR images.

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, 210094, People’s Republic of China

    Xuelian Yu, Qian Chen, Guohua Gu, Jianle Ren & Xiubao Sui

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  1. Xuelian Yu
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  2. Qian Chen
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  3. Guohua Gu
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  4. Jianle Ren
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  5. Xiubao Sui
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Correspondence to Xuelian Yu.

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Yu, X., Chen, Q., Gu, G. et al. Perceived assessment metrics for visible and infrared color fused image quality without reference image. Opt Rev 22, 109–122 (2015). https://doi.org/10.1007/s10043-015-0058-9

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  • DOI: https://doi.org/10.1007/s10043-015-0058-9

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