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Using CNN with Multi-Level Information Fusion for Image Denoising

Using CNN with Multi-Level Information Fusion for Image Denoising

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2812387089

Using CNN with Multi-Level Information Fusion for Image Denoising

About this item

Full title

Using CNN with Multi-Level Information Fusion for Image Denoising

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2023-05, Vol.12 (9), p.2146

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Deep convolutional neural networks (CNN) with hierarchical architectures have obtained good results for image denoising. However, in some cases where the noise level is unknown and the image background is complex, it is challenging to obtain robust information through CNN. In this paper, we present a multi-level information fusion CNN (MLIFCNN) in...

Alternative Titles

Full title

Using CNN with Multi-Level Information Fusion for Image Denoising

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2812387089

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2812387089

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics12092146

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