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ICASSP
2011
IEEE

On the improvement of image registration for high accuracy super-resolution

11 years 1 months ago
On the improvement of image registration for high accuracy super-resolution
Accurate image registration plays a preponderant role in image super-resolution methods and in the related literature landmarkbased registration methods have gained increasing acceptance in this framework. However, their solution relies on point correspondences and on least squares estimation of the registration parameters necessitating further improvement. In this work, a maximum a posteriori scheme for image super-resolution is presented where the image registration part is accomplished in two steps. At first, the lowresolution images are registered by establishing correspondences between robust SIFT features. In the second step, the estimation of the registration parameters is fine-tuned along with the estimation of the high resolution image, in an iterative procedure, using the maximization of the mutual information criterion. Numerical results showed that the reconstructed image is consistently of higher quality than in standard MAP-based methods employing only landmarks.
Michalis Vrigkas, Christophoros Nikou, Lisimachos
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Michalis Vrigkas, Christophoros Nikou, Lisimachos P. Kondi
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