Real-World Single Image Super-Resolution Under Rainy Condition
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Abstract (arXiv)
Image super-resolution is an important research area in computer vision that has a wide variety of applications including surveillance, medical imaging etc. Real-world signal image super-resolution has become very popular now-a-days due to its real-time application. There are still a lot of scopes to improve real-world single image super-resolution specially during challenging weather scenarios. In this paper, we have proposed a new algorithm to perform real-world single image super-resolution during rainy condition. Our proposed method can mitigate the influence of rainy conditions during image super-resolution. Our experiment results show that our proposed algorithm can perform image super-resolution decreasing the negative effects of the rain.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 37 references that are in the map. First posted on arXiv 16 Jun 2022.
Builds on
17 of 37 references.
References · 17
- 2019Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Modelcited by 400
- 2016Deep Joint Rain Detection and Removal from a Single Imagecited by 351
- 2017Attentive Generative Adversarial Network for Raindrop Removal from a Single Imagecited by 204
- 2019Blind Super-Resolution With Iterative Kernel Correctioncited by 203
- 2018Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networkscited by 133
- 2019Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Rainingcited by 117
- 2019Frequency Separation for Real-World Super-Resolutioncited by 115
- 2020Unsupervised Real-world Image Super Resolution via Domain-distance Aware Trainingcited by 83
- 2021Real-World Single Image Super-Resolution: A Brief Reviewcited by 65
- 2019Unsupervised Learning for Real-World Super-Resolutioncited by 64
- 2020Fast Adaptation to Super-Resolution Networks via Meta-Learningcited by 46
- 2020Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniquescited by 31
5 more
- 2019Unsupervised Image Super-Resolution with an Indirect Supervised Pathcited by 20
- 2020ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rigcited by 19
- 2020Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolutioncited by 17
- 2020Gated Fusion Network for Degraded Image Super Resolutioncited by 9
- 2018Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Datacited by 7
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