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- W4281564161 abstract "Reconstructing low-resolution images to high-resolution images by building a neural network is quite challenging but can be used in many applications like medical imaging, public surveillance, or old photo recovery. Compared to previous methods, deep learning has a breakthrough in high-resolution accuracy and speed. By applying a deep network with Generative Adversarial Networks, this model aims to enhance low-resolution images to produce high-resolution images. The major focus is to reconstruct the image with high resolution by developing the image with low-resolution in order to preserve the main details in the reconstructed images." @default.
- W4281564161 created "2022-05-27" @default.
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- W4281564161 date "2022-04-28" @default.
- W4281564161 modified "2023-09-25" @default.
- W4281564161 title "Image Super-Resolution using GAN - A study" @default.
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- W4281564161 doi "https://doi.org/10.1109/icoei53556.2022.9777129" @default.
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