Infrared image super-resolution reconstruction by using generative adversarial network with an attention mechanism
- 23 October 2020
- journal article
- research article
- Published by Springer Nature in Applied Intelligence
- Vol. 51 (4) , 2018-2030
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Deeply-Recursive Convolutional Network for Image Super-Resolution2016
- Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network2016
- Local Rademacher Complexity for Multi-Label LearningIEEE Transactions on Image Processing, 2016
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015
- Single image super-resolution from transformed self-exemplars2015
- A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution2015
- Learning a Deep Convolutional Network for Image Super-Resolution2014
- Single Image Super-Resolution With Non-Local Means and Steering Kernel RegressionIEEE Transactions on Image Processing, 2012
- An edge-guided image interpolation algorithm via directional filtering and data fusionIEEE Transactions on Image Processing, 2006
- Limits on super-resolution and how to break themIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002