Image Super-Resolution via Deep Reinforcement Learning:  A Dueling DQN Strategy

Dhruv Khanna and M. H. Molawade

Image Super-Resolution via Deep Reinforcement Learning: A Dueling DQN Strategy

Authors

Dhruv Khanna and M. H. Molawade

Keywords:

Reinforcement learning, Image super resolution, DNQ network, Deep reinforcement learning

Abstract

The problem of enhancement can be reformulated in termsof sequential decision making in this paper, adding an original approach
to the super-resolution

References

C. Dong, C. C. Loy, K. He, and X. Tang, ”Image Super Resolution Using Deep Convolutional Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 2, pp. 295–307, 2016.

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Published

2024-08-20

How to Cite

Dhruv Khanna and M. H. Molawade. (2024). Image Super-Resolution via Deep Reinforcement Learning: A Dueling DQN Strategy . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6999–7010. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4072