Bayesian methods for image super-resolution
We present a novel method of Bayesian image super-resolution in which marginalization is carried out over latent parameters such as geometric and photometric registration and the image point-spread function. Related Bayesian super-resolution approaches marginalize over the high-resolution image, nec...
Main Authors: | Pickup, LC, Capel, DP, Roberts, S, Zisserman, A |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2007
|
Similar Items
-
Bayesian image super-resolution, continued
by: Pickup, LC, et al.
Published: (2007) -
A sampled texture prior for image super-resolution
by: Pickup, LC, et al.
Published: (2004) -
Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
by: Pickup, L, et al.
Published: (2007) -
Optimizing and learning for super-resolution
by: Pickup, LC, et al.
Published: (2006) -
Super-resolution enhancement of text image sequences
by: Capel, D, et al.
Published: (2002)