Bayesian combination of sparse and non-sparse priors in image super resolution
نویسندگان
چکیده
منابع مشابه
Bayesian combination of sparse and non-sparse priors in image super resolution
In this paper the application of image prior combinations to the Bayesian Super Resolution (SR) image registration and reconstruction problem is studied. Two sparse image priors, a Total Variation (TV) prior and a prior based on the `1 norm of horizontal and vertical first order differences (f.o.d.), are combined with a non-sparse Simultaneous Auto Regressive (SAR) prior. Since, for a given obs...
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ژورنال
عنوان ژورنال: Digital Signal Processing
سال: 2013
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2012.10.002