论文阅读：Non-Local Image Dehazing
代码：https://github.com/danaberman/non-local-dehazing 本文中关于雾线的思想，和Meng（BCCR）方法中“推向论”的思想有异曲同工之妙。 目录 1. 摘要 2. 先验 3. 去雾方法 3.1 Finding Haze-Lines 3.2 Estimating Initial Transmission 3.3 Regularization 3.4 D
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相关文章
- 1. 【论文阅读】Domain Adaptation for Image Dehazing
- 2. 论文阅读：Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
- 3. 论文阅读：Multi-scale Optimal Fusion model for single image dehazing
- 4. 论文阅读：GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
- 5. 论文阅读：Dehaze-GLCGAN: Unpaired Single Image Dehazing Via Adversarial Training
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- 8. 《论文阅读》BidNet: Binocular Image Dehazing without Explicit Disparity Estimation
- 9. Scan Context Image论文阅读
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