High Resolution Image Reconstruction Using the Phase Correlation
Said Ousguine, Fedwa Essanouni, Leila Essanouni, Driss Aboutajdine
Journal of Information Organization, Vol. 2, No. 3, 2012.
DOI: 
Link: http://www.dline.info/jio/fulltext/v2n3/3.pdf
Abstract:
The notion of super &#8722; resolution algorithm is production of a high resolution image from multiple low &#8722; resolution images, to success this procedure, we must have an accurate motion estimation of low &#8722; resolution images; this latter is a key element of increasing the resolution of an image. In this paper a novel framework for motion estimation is presented, this framework consists to estimate the shift motion of high-resolution image using a sub-pixel registration. In the simulation we need a set of low &#8722; resolution images created from a high &#8722; resolution image to perform the sub &#8722; pixel registration using the phase correlation, to estimate the shift motion between each low-resolution image and the reference image. A high &#8722; resolution image is then reconstructed using bicubic interpolation. Finally, this framework is tested and compared to other frequency methods of shift estimation, the simulation results show the performance of our framework than the other frequency methods of super &#8722; resolution.