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arXiv · 2006.00186

Advanced Single Image Resolution Upsurging Using a Generative Adversarial Network

Md. Moshiur Rahman·Samrat Kumar Dey·Kabid Hassan Shibly
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Abstract

The resolution of an image is a very important criterion for evaluating the quality of the image. A higher resolution of an image is always preferable as images of lower resolution are unsuitable due to fuzzy quality. A higher resolution of an image is important for various fields such as medical imaging; astronomy works and so on as images of lower resolution becomes unclear and indistinct when their sizes are enlarged. In recent times, various research works are performed to generate a higher resolution of an image from its lower resolution. In this paper, we have proposed a technique of generating higher resolution images form lower resolution using Residual in Residual Dense Block network architecture with a deep network. We have also compared our method with other methods to prove that our method provides better visual quality images.

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Md. Moshiur Rahman, Samrat Kumar Dey, Kabid Hassan Shibly. 2020-05-30. Advanced Single Image Resolution Upsurging Using a Generative Adversarial Network. https://doi.org/10.5121/sipij.2020.11105

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