Real-World Single Image Super-Resolution Under Rainy Condition

• URL: http://arxiv.org/abs/2206.08345v1
• Date: Thu, 16 Jun 2022 17:48:27 GMT
• Title: Real-World Single Image Super-Resolution Under Rainy Condition
• Authors: Mohammad Shahab Uddin
• Abstract summary: We have proposed a new algorithm to perform real-world single image super-resolution during rainy condition. Our experiment results show that our proposed algorithm can perform image super-resolution decreasing the negative effects of the rain.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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.

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