Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
About this item
Full title
Author / Creator
Du, Xiaofeng , Qu, Xiaobo , He, Yifan and Guo, Di
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Deep convolutional neural networks (CNNs) are successful in single-image super-resolution. Traditional CNNs are limited to exploit multi-scale contextual information for image reconstruction due to the fixed convolutional kernel in their building modules. To restore various scales of image details, we enhance the multi-scale inference capability of...
Alternative Titles
Full title
Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f536c1e0c7b44c02a1877e9acb1453f6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f536c1e0c7b44c02a1877e9acb1453f6
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s18030789
