On nonlocal image completion using an ensemble of dictionaries
2016 IEEE International Conference on Image Processing (ICIP), page 2519--2523 - September 2016
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In this paper we consider the problem of nonlocal image completion from random measurements and using an ensemble of dictionaries.
Utilizing recent advances in the field of compressed sensing, we derive conditions under which one
can uniquely recover an incomplete image with overwhelming probability. The theoretical results are complemented by
numerical simulations using various ensembles of analytical and training-based dictionaries.
Images and movies
![reconstruction.png [45Ko]](/publications/2016/MU16/reconstruction.png)
See also
Download code: here .
BibTex references
@InProceedings\{MU16,
author = "Miandji, Ehsan and Unger, Jonas",
title = "On nonlocal image completion using an ensemble of dictionaries",
booktitle = "2016 IEEE International Conference on Image Processing (ICIP)",
pages = "2519--2523",
month = "September",
year = "2016",
publisher = "IEEE"
}
