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Towards Structured Noise Models for Unsupervised Denoising

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 01 Jan 2023 English Publisher:Springer Nature Switzerland
Authors: Benjamin Salmon; Alexander Krull;

doi: 10.1007/978-3-031-25069-9_25 , 10.5281/zenodo.7010201 , 10.5281/zenodo.7010202

Towards Structured Noise Models for Unsupervised Denoising

Abstract

Three image datasets corrupted with synthetic structured noise. Contains three subfolders: Convallaria, CT and KMNIST, each containing three files: observation.tif, which is the noisy imags, signal.tif, which is the ground truth noiseless images, and noise.tif, which is pure noise samples.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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