DocumentCode :
3410617
Title :
DFT-based fast superresolution image reconstruction using INLA approximation
Author :
Oliveira Camponez, Marcelo ; Teatini Salles, Evandro O. ; Sarcinelli-Filho, Mario
Author_Institution :
Grad. Program on Electr. Eng., Fed. Univ. of Espirito Santo, Vitoria, Brazil
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2217
Lastpage :
2220
Abstract :
Recently, we have successfully exploited and applied the new and powerful non-parametric Integrated Nested Laplace Approximation (INLA) Bayesian inference method to the problem of Superresolution (SR) image reconstruction, generating the INLA SR algorithm. Such approach achieved superior image reconstruction results in comparison to other state-of-the-art methods. In this paper we propose a modification in the mathematical model of the INLA SR, generating the new DFT INLA SR algorithm. It is shown that the new approach reduces the computation cost of the INLA SR algorithm (from O(n4) to O(n log(n))), as well as the dimension of the matrices handled (from n2 × n2 to n × n, the size of the HR image), at the cost of a slight reduction of the HR image quality.
Keywords :
Bayes methods; approximation theory; computational complexity; discrete Fourier transforms; image reconstruction; image resolution; inference mechanisms; nonparametric statistics; Bayesian inference method; DFT INLA SR algorithm; DFT-based fast superresolution image reconstruction; HR image quality reduction; INLA; SR image reconstruction problem; computation cost reduction; discrete Fourier transform; mathematical model; nonparametric integrated nested Laplace approximation; Approximation methods; Boats; Discrete Fourier transforms; Image reconstruction; Image resolution; Mathematical model; Vectors; Block Toeplitz Circulant Matrices; DFT; INLA; Superresolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467335
Filename :
6467335
Link To Document :
بازگشت