A Method for Quality Evaluation of Multi-exposure Fusion Images with Multi-scale Gradient Magnitude

Author:

Zhu Zhiqin,Liang Huahua,Li Yuanyuan,Qi Guanqiu

Publisher

Springer Singapore

Reference13 articles.

1. Girod, B.: What’s wrong with mean-square error. Int. J. Forecast. (1988)

2. Rahman, H., Soundararajan, R., et al.: Evaluating multiexposure fusion using image information. IEEE Signal Process. Lett. 24(11), 1671–1675 (2017)

3. Xue, W., Zhang, L., Mou, X., Bovik, A.C.: Gradient magnitude similarity deviation: a highly efficient perceptual image quality index. IEEE Trans. Image Process. 23(2), 684–695 (2014)

4. Xing, L., Cai, L., et al.: A multi-scale contrast-based image quality assessment model for multi-exposure image fusion. Signal Process. Official Publ. Eur. Assoc. Signal Process. (EURASIP) 145, 233–240 (2018)

5. Xing, L.: Research on multi-exposure fusion image quality assessment. Huaqiao University (2018)

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