Inverse problem in image processing: Image restoration
Conventional image restoration methods often require careful feature selection and fine-tuning, which can be a complicated process and not always possible. On the other hand, Deep-learning (DL) models rely heavily on the datasets availability and neural network architecture, which can lead to reduce...
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| Format: | Final Year Project / Dissertation / Thesis |
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2023
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| Online Access: | http://eprints.utar.edu.my/5637/1/3E_1801880_Final_report_%2D_YEN_KHAI_WONG.pdf http://eprints.utar.edu.my/5637/ |
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