BAM: a balanced attention mechanism to optimize single image super-resolution
Authors:
- 26 July 2022
- journal article
- research article
- Published by Springer Nature in Journal of Real-Time Image Processing
- Vol. 19 (5) , 941-955
Abstract
No abstract availableKeywords
All Related Versions
This publication has 31 references indexed in Scilit:
- Deeply-Recursive Convolutional Network for Image Super-Resolution2016
- Deep Residual Learning for Image Recognition2016
- Accurate Image Super-Resolution Using Very Deep Convolutional Networks2016
- Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network2016
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015
- Single image super-resolution from transformed self-exemplars2015
- Image Super-Resolution Using Deep Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
- Contour Detection and Hierarchical Image SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
- Image Super-Resolution Via Sparse RepresentationIEEE Transactions on Image Processing, 2010
- Image quality assessment: from error visibility to structural similarityIEEE Transactions on Image Processing, 2004