Limits of Learning-Based Superresolution Algorithms
- 20 August 2008
- journal article
- research article
- Published by Springer Nature in International Journal of Computer Vision
- Vol. 80 (3) , 406-420
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Fundamental limits of reconstruction-based superresolution algorithms under local translationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
- Advances and challenges in super‐resolutionInternational Journal of Imaging Systems and Technology, 2004
- Eigenface-domain super-resolution for face recognitionIEEE Transactions on Image Processing, 2003
- Super-resolution image reconstruction: a technical overviewIEEE Signal Processing Magazine, 2003
- Limits on super-resolution and how to break themIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Resolution enhancement of color video sequencesIEEE Transactions on Image Processing, 1999
- Restoration of a single superresolution image from several blurred, noisy, and undersampled measured imagesIEEE Transactions on Image Processing, 1997
- Joint MAP registration and high-resolution image estimation using a sequence of undersampled imagesIEEE Transactions on Image Processing, 1997
- Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture timeIEEE Transactions on Image Processing, 1997
- Recursive high-resolution reconstruction of blurred multiframe imagesIEEE Transactions on Image Processing, 1993