論文閱讀：Non-Local Image Dehazing
代碼：https://github.com/danaberman/non-local-dehazing 本文中關於霧線的思想，和Meng（BCCR）方法中「推向論」的思想有異曲同工之妙。 目錄 1. 摘要 2. 先驗 3. 去霧方法 3.1 Finding Haze-Lines 3.2 Estimating Initial Transmission 3.3 Regularization 3.4 D
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相關文章
- 1. 【論文閱讀】Domain Adaptation for Image Dehazing
- 2. 論文閱讀：Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
- 3. 論文閱讀：Multi-scale Optimal Fusion model for single image dehazing
- 4. 論文閱讀：GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
- 5. 論文閱讀：Dehaze-GLCGAN: Unpaired Single Image Dehazing Via Adversarial Training
- 6. 論文閱讀：FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
- 7. 論文閱讀： Gated Context Aggregation Network for Image Dehazing and Deraining
- 8. 《論文閱讀》BidNet: Binocular Image Dehazing without Explicit Disparity Estimation
- 9. Scan Context Image論文閱讀
- 10. 論文筆記：Domain Adaptation for Image Dehazing