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Similarity Noise Training for Image Denoising
2020
Mathematics and Computer Science
Deep learning has attracted a lot of attention lately, thanks. Thanks to its high modeling performance, technological advancement, and big data for training, deep learning has achieved a remarkable improvement in both high and low-level vision tasks. One crucial aspect of the success of a deep learning-based model is an adequate large data set for fueling the training stage. But in many cases, well-labeled large data is hard to acquire. Recent works have shown that it is possible to optimize
doi:10.11648/j.mcs.20200502.12
fatcat:ckw3mttogjfkvndczl73nzmlyu