Self-Augmented Noisy Image for Noise2Noise Image Denoising

Image denoising is a critical task in image processing aimed at removing noise artifacts. Typically, supervised deep learning often necessitates a large number of pairs of noisy and noise-free images for training. Noise2Noise techniques have demonstrated efficiency in noise removal without relying o...

詳細記述

書誌詳細

主要な著者:	Asavaron Limsuebchuea, Rakkrit Duangsoithong, Pornchai Phukpattaranont
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Access
主題:	Image denoising single image denoising blind noise self-supervised self-augmentation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10534780/
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