Super-resolution from multiple views using learnt image models

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

Volumn 2, Issue , 2001, Pages

  Capel, David ^a   Zisserman, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DEGREES OF FREEDOM (MECHANICS); IMAGE QUALITY; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTICAL RESOLVING POWER;

IMAGE MODELS;

IMAGE RECONSTRUCTION;

EID: 0035691207     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Limits on super-resolution and how to break them
2. Simultaneous multiframe MAP super-resolution video enhancement using spatio-temporal priors
3. Super-resolution of images based on local correlations
4. Automated mosaicing with super-resolution zoom
5. Texture synthesis by non-parametric sampling
6. Learning low-level vision
7. Improving resolution by image registration
8. Motion analysis for image enhancement: Resolution, occlusion, and transparency
9. Virtual bellows: Constructing high quality stills from video
10. On the solution of large quadratic programming problems with bound constraints
11. Characterizing digitial image aquisition devices
12. Extraction of high-resolution frames from video sequences
13. Bayesian super-resolved surface reconstruction from images
14. Face recognition using eigenfaces
15. Learning generic prior models for visual computation
16. Applying super-resolution to panoramic mosaics