High-Resolution Image Reconstruction via Hybrid Convolutional and  Transformer Networks

Ruchika Aggarwal ,Harvendra Kumar ,Jytoti Asia ,Kundan Agrawal

High-Resolution Image Reconstruction via Hybrid Convolutional and Transformer Networks

Authors

Ruchika Aggarwal ,Harvendra Kumar ,Jytoti Asia ,Kundan Agrawal

Keywords:

Abstract

High-resolution image reconstruction from low-resolution inputs is a critical taskin computer vision, with applications ranging from medical imaging to satellite photography.

References

Dong, C., Loy, C.C., He, K., & Tang, X. (2016). Image super-resolution using deep convolutional networks. IEEE Transactions on Pattern Analysis

and Machine Intelligence, 38(2), 295–307

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Published

2024-12-20

How to Cite

Ruchika Aggarwal ,Harvendra Kumar ,Jytoti Asia ,Kundan Agrawal. (2024). High-Resolution Image Reconstruction via Hybrid Convolutional and Transformer Networks. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2497–2518. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4375