On the fundamental limits of reconstruction-based super-resolution algorithms

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2001, Pages I1171-I1176

  Lin, Zhouchen ^a   Shum, Heung Yeung ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; IMAGING TECHNIQUES; PERTURBATION TECHNIQUES;

LOW RESOLUTION IMAGES (LRI); RECONSTRUCTION-BASED ALGORITHMS (RBA);

LINEAR SYSTEMS;

EID: 0035680234     PISSN: 10636919     EISSN: None     Source Type: Journal    
DOI: 10.1109/CVPR.2001.990663     Document Type: Article

References (11)

1. Limits on super-resolution and how to break them
2. Recursive implementation of total least squares algorithm for image reconstruction from noisy, undersampled multiframes
3. Restoration of single super-resolution image from several blurred, noisy and down-sampled measured images
4. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
5. A survey of componentwise perturbation theory in numerical linear algebra
6. Multi-frame image restoration and registration
7. Improving resolution by image restoration
8. Extraction of high-resolution frames from video sequences