An enhanced multi-scale weight assignment strategy of two-exposure fusion
Author:
Funder
Fundamental Research Funds for the Central Universities
Postdoctoral Research Foundation of China
Heilongjiang Provincial Postdoctoral Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-023-03258-2.pdf
Reference38 articles.
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3. Shen, R., Cheng, I., Shi, J., Basu, A.: Generalized random walks for fusion of multi-exposure images. IEEE Trans. Image Process. 20(12), 3634–3646 (2011)
4. Han, D., Li, L., Guo, X., Ma, J.: Multi-exposure image fusion via deep perceptual enhancement. Inf. Fus. 79, 248–262 (2021)
5. Ma, K., Wang, Z.: Multi-exposure image fusion: a patch-wise approach. In: 2015 IEEE International Conference on Image Processing(ICIP), pp. 1717–1721 (2015)
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