Keywords
Bayesian edge inference, BEI, super-resolution, recapture
Abstract
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing methods. Though the best give excellent results at modest magnification factors, they suffer from gradient stepping and boundary coherence problems by factors of 4x. Central to BEI is a causal framework that allows image capture and recapture to be modeled differently, a principled way of undoing downsampling blur, and a technique for incorporating Markov random field potentials arbitrarily into Bayesian networks. Besides addressing gradient and boundary issues, BEI is shown to be competitive with existing methods on published correctness measures. The model and framework are shown to generalize to other reconstruction tasks by demonstrating BEI’s effectiveness at CCD demosaicing and inpainting with only trivial changes.
Original Publication Citation
N. Toronto, B. Morse, D. Ventura, and K. Seppi, "Super-resolution via recapture and Bayesian effect modeling," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2388-2395, June 29.
BYU ScholarsArchive Citation
Morse, Bryan S.; Seppi, Kevin; Toronto, Neil; and Ventura, Dan A., "Super-Resolution via Recapture and Bayesian Effect Modeling" (2009). Faculty Publications. 131.
https://scholarsarchive.byu.edu/facpub/131
Document Type
Peer-Reviewed Article
Publication Date
2009-06-01
Permanent URL
http://hdl.lib.byu.edu/1877/2488
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/