Log in to save to my catalogue

A Novel Deep-Learning-Based Enhanced Texture Transformer Network for Reference Image Super-Resolutio...

A Novel Deep-Learning-Based Enhanced Texture Transformer Network for Reference Image Super-Resolutio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724229454

A Novel Deep-Learning-Based Enhanced Texture Transformer Network for Reference Image Super-Resolution

About this item

Full title

A Novel Deep-Learning-Based Enhanced Texture Transformer Network for Reference Image Super-Resolution

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2022-10, Vol.11 (19), p.3038

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The study explored a deep learning image super-resolution approach which is commonly used in face recognition, video perception and other fields. These generative adversarial networks usually have high-frequency texture details. The relevant textures of high-resolution images could be transferred as reference images to low-resolution images. The la...

Alternative Titles

Full title

A Novel Deep-Learning-Based Enhanced Texture Transformer Network for Reference Image Super-Resolution

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2724229454

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724229454

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics11193038

How to access this item