Blind Denoising Autoencoder

The term "blind denoising" refers to the fact that the basis used for denoising is learned from the noisy sample itself during denoising. Dictionary learning- and transform learning-based formulations for blind denoising are well known. But there has been no autoencoder-based solution for...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 30; H. 1; S. 312 - 317
1. Verfasser:	Majumdar, Angshul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Autoencoder denoising Dictionaries Formulations Learning Machine learning Model testing Noise measurement Noise reduction Singular value decomposition Training Training data Transforms
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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