Partition-Based Image Exposure Correction via Wavelet-Based High Frequency Restoration
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5597-4_38
Reference20 articles.
1. Huang, J., Zhao, F., Zhou, M., et al.: Learning sample relationship for exposure correction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9904–9913 (2023)
2. Xu, X., Wang, R., Lu, J.: Low-light image enhancement via structure modeling and guidance. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9893–9903 (2023)
3. Wu, W., Weng, J., Zhang, P., et al.: URetinex-Net: retinex-based deep unfolding network for low-light image enhancement. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5901–5910 (2022)
4. Jiang, Y., Gong, X., Liu, D., et al.: Enlightengan: deep light enhancement without paired supervision. IEEE Trans. Image Process. 30, 2340–2349 (2021)
5. Zheng, N., Zhou, M., Dong, Y., et al.: Empowering low-light image enhancer through customized learnable priors. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 12559–12569 (2023)
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