Device and method for texture-aware self-supervised blind denoising using self-residual learning

Abstract

The present invention relates to a blind denoising device including: a receiving unit for receiving an original noisy image; a Pixel-shuffle Downsampling (PD) unit for performing PD for the original noisy image to produce at least one or more downsampled images; a predicted image producing unit for eliminating the noise from the original noisy image and the downsampled images to produce at least one or more predicted images restored to the shape of the original noisy image; and a learning unit for performing optimized learning for the predicted image producing unit, based on at least one or more self-supervised losses of the predicted images and the original noisy image.

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