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ICANN
2010
Springer
13 years 8 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
ICIP
2006
IEEE
14 years 9 months ago
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples
Recently, new sampling schemes were presented for signals with finite rate of innovation (FRI) using sampling kernels reproducing polynomials or exponentials [1] [2]. In this pape...
Loïc Baboulaz, Pier Luigi Dragotti
ICIP
2006
IEEE
14 years 9 months ago
Outlier Robust and Edge-Preserving Simultaneous Super-Resolution
In this work, we propose a new robust and edge-preserving superresolution algorithm to simultaneously estimate all frames of a sequence. The new algorithm is based on the regulari...
Joceli Mayer, Marcelo Victor Wüst Zibetti
NIPS
2003
13 years 8 months ago
A Sampled Texture Prior for Image Super-Resolution
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
DBISP2P
2005
Springer
129views Database» more  DBISP2P 2005»
14 years 1 months ago
Querying a Super-Peer in a Schema-Based Super-Peer Network
We propose a novel approach for de ning and querying a super-peer within a schema-based super-peer network organized into a two-level architecture: the low level, called the peer l...
Domenico Beneventano, Sonia Bergamaschi, Francesco...