Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior
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DOI: 10.1109/jstars.2021.3111404
Abstract: Recently, deep learning-based methods are proposed for hyperspectral images (HSIs) denoising. Among them, unsupervised methods such as deep image prior (DIP)-based methods have received much attention because these methods do not require any training data.… read more here.
Keywords: based methods; image prior; deep image; dip based ... See more keywords