Towards Compact Single Image Dehazing via Task-related Contrastive Network
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference56 articles.
1. Ancuti, C. O., Ancuti, C., Sbert, M., & Timofte, R. (2019). Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images. In 2019 IEEE international conference on image processing (pp. 1014–1018). http://dx.doi.org/10.1109/ICIP.2019.8803046.
2. Ancuti, C. O., Ancuti, C., Timofte, R., & De Vleeschouwer, C. (2018). O-haze: a dehazing benchmark with real hazy and haze-free outdoor images. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (pp. 754–762).
3. Self-guided image dehazing using progressive feature fusion;Bai;IEEE Transactions on Image Processing,2022
4. Berman, D., Treibitz, T., & Avidan, S. (2016). Non-local Image Dehazing. In 2016 IEEE conference on computer vision and pattern recognition.
5. 2018 PIRM challenge on perceptual image super-resolution;Blau;CoRR,2018
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