Zhang et al., 2023
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Underwater scene prior inspired deep underwater image and video enhancement | |
| Liu et al. | A spectral grouping and attention-driven residual dense network for hyperspectral image super-resolution | |
| Tolie et al. | DICAM: Deep inception and channel-wise attention modules for underwater image enhancement | |
| CN108537733B (en) | Super-resolution reconstruction method based on multi-path deep convolutional neural network | |
| CN111754438B (en) | Underwater image restoration model and restoration method based on multi-branch gated fusion | |
| Liu et al. | WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement | |
| Liu et al. | Research on super-resolution reconstruction of remote sensing images: A comprehensive review | |
| Zhang et al. | A cross-scale framework for low-light image enhancement using spatial–spectral information | |
| CN115861094B (en) | A lightweight GAN underwater image enhancement model fused with attention mechanism | |
| JP7512150B2 (en) | Information processing device, information processing method, and program | |
| CN112001843B (en) | A deep learning-based infrared image super-resolution reconstruction method | |
| CN105550989B (en) | The image super-resolution method returned based on non local Gaussian process | |
| CN116681627B (en) | Cross-scale fusion self-adaptive underwater image generation countermeasure enhancement method | |
| Shakibania et al. | CDAN: Convolutional dense attention-guided network for low-light image enhancement | |
| Zhou et al. | Domain adaptive adversarial learning based on physics model feedback for underwater image enhancement | |
| CN120278912B (en) | Underwater image enhancement method and system combining multiple convolution models with attention mechanism | |
| CN114972062A (en) | Image restoration model based on parallel self-adaptive guide network and method thereof | |
| Hua et al. | Dynamic scene deblurring with continuous cross-layer attention transmission | |
| Hasanaath et al. | FSBI: Deepfake detection with frequency enhanced self-blended images | |
| CN119515714A (en) | Low-light image enhancement algorithm based on deep convolution | |
| Tan et al. | Low-light image enhancement with geometrical sparse representation | |
| Xie et al. | A novel complex-valued convolutional network for real-world single image dehazing | |
| Pramanick et al. | Harnessing multi-resolution and multi-scale attention for underwater image restoration | |
| Wang et al. | Optimized UNet framework with a joint loss function for underwater image enhancement | |
| Luo et al. | RepDehazeNet: Dual subnets image dehazing network based on structural re-parameterization |