Survey of image noise removal using deep learning
Survey of image noise removal using deep learning
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
arXiv paper abstract https://arxiv.org/abs/2301.03362
arXiv PDF paper https://arxiv.org/pdf/2301.03362.pdf
Image denoising (removal of additive white Gaussian noise from an image) is one of the oldest and most studied problems in image processing.
... DL brought a revolution to image denoising, both by taking the lead in today's ability for noise removal in images, and by broadening the scope of denoising problems being treated.
... paper starts by describing this evolution, highlighting in particular the tension and synergy that exist between classical approaches and modern DL-based alternatives in design of image denoisers.
... expose the possibility of using denoisers to serve other problems, such as regularizing general inverse problems and serving as the prime engine in diffusion-based image synthesis.
... also unveil the idea that denoising and other inverse problems might not have a unique solution as common algorithms would have us believe.
... describe constructive ways to produce randomized and diverse high quality results for inverse problems, all fueled by the progress that DL brought to image denoising ...
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