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bsd500
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The standard approach to image reconstruction using deep learning is to use clean image priors for training purposes. In this project, we attempt to achieve denoising without using a clean image prior and yet, achieving a performance comparable to, or sometimes, even better than that obtained using the conventional approach.
tensorflowimage-processingdatasetautoencoderunetdenoising-autoencodersimage-restorationdenoisingrednetnoise2noisegaussian-noiseimage-data-generatorbsd500
- Updated
Dec 10, 2022 - Jupyter Notebook
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