An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term

The vast majority of image recovery tasks are ill-posed problems. As such, methods that are based on optimization use cost functions that consist of both fidelity and prior (regularization) terms. A recent line of works imposes the prior by the Regularization by Denoising (RED) approach, which explo...

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Veröffentlicht in:	arXiv.org 2021-01
Hauptverfasser:	Yogev-Ofer, Einav, Tirer, Tom, Giryes, Raja
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Cost function Ill posed problems Image resolution Noise levels Noise reduction Optimization Regularization
Online-Zugang:	Volltext
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