Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03554-5.pdf
Reference43 articles.
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2. Paul, A.: Adaptive tri-plateau limit tri-histogram equalization algorithm for digital image enhancement. Vis. Comput. 39, 297–318 (2023). https://doi.org/10.1007/s00371-021-02330-z
3. Srinivas, K., Bhandari, A.K., Singh, A.: Exposure-based energy curve equalization for enhancement of contrast distorted images. IEEE Trans. Circuits Syst. Video Technol. 30, 4663–4675 (2020). https://doi.org/10.1109/TCSVT.2019.2960861
4. Zhou, R., Wang, R., Wang, Y., Zhou, F., Guo, N.: Research on low-light image enhancement based on MER-Retinex algorithm. SIViP 18, 803–811 (2024). https://doi.org/10.1007/s11760-023-02801-x
5. Ancuti, C.O., Ancuti, C., De Vleeschouwer, C.: Color balance and fusion for underwater image enhancement. IEEE Trans. on Image Process. 27, 379–393 (2018). https://doi.org/10.1109/TIP.2017.2759252
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