(Enter summary)
Abstract: This paper is concerned with the reconstruction of images (or signals) from incomplete, noisy
data, obtained at the output of an observation system. The solution is defined in maximum a posteriori
(MAP) sense and it appears as the global minimum of an energy function joining a convex data-fidelity
term and a Markovian prior energy. The sought images are composed of nearly homogeneous zones
separated by edges and the prior term accounts for this knowledge. This term combines general nonconvex... (Update)
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BibTeX entry: (Update)
, 137-166. Nikolova, M. (1999a). \Markovian reconstruction using a GNC approach", IEEE Transactions on Image Processing, http://citeseer.ist.psu.edu/nikolova94markovian.html More
@inproceedings{ nikolova94markovian,
author = "Mila Nikolova",
title = "Markovian Reconstruction in Computed Imaging and Fourier Synthesis",
booktitle = "{ICIP} (2)",
pages = "690-694",
year = "1994",
url = "citeseer.ist.psu.edu/nikolova94markovian.html" }
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