Deep learning method for enhancing luminescence image resolution
Authors:
- Priya DwivediPDPriya Dwivedi
- Juergen W. WeberJWJuergen W. Weber
- Robert Lee ChinRCRobert Lee Chin
- Thorsten TrupkeTTThorsten Trupke
- Ziv HameiriZHZiv Hameiri
Open Access
- 9 May 2023
- journal article
- research article
- Published by Elsevier in Solar Energy Materials and Solar Cells
- Vol. 257
Abstract
No abstract availableFunding Information
- Australian Renewable Energy Agency (2020/RND016)
- Australian Government
This publication has 24 references indexed in Scilit:
- Commercial progress and challenges for photovoltaicsNature Energy, 2016
- Image Super-Resolution Using Deep Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
- Super-resolution: a comprehensive surveyMachine Vision and Applications, 2014
- A super-resolution reconstruction algorithm for hyperspectral imagesSignal Processing, 2012
- Photoluminescence Imaging for Photovoltaic ApplicationsEnergy Procedia, 2012
- Photoluminescence imaging of silicon wafersApplied Physics Letters, 2006
- Photographic surveying of minority carrier diffusion length in polycrystalline silicon solar cells by electroluminescenceApplied Physics Letters, 2005
- Super-resolution image reconstruction: a technical overviewIEEE Signal Processing Magazine, 2003
- Cubic convolution interpolation for digital image processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- Über spontane Stromschwankungen in verschiedenen ElektrizitätsleiternAnnalen der Physik, 1918