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Recurrent Self-Supervised Video Denoising with Denser Receptive Field
However, under their blind spot constraints, previous self-supervised video denoising methods suffer from significant information loss and texture destruction in either the whole reference frame or neighbor frames, due to their inadequate consideration of the receptive field.
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
Despite the significant results on synthetic noise under simplified assumptions, most self-supervised denoising methods fail under real noise due to the strong spatial noise correlation, including the advanced self-supervised blind-spot networks (BSNs).
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