• Super-Resolution GUI in Matlab

This is a super-resolution image reconstruction toolbox developed in Matlab. It includes geometric and photometric registration modules, a restoration module with several super-resolution techniques, and a panorama creation module.

The software can be downloaded from here. The user manual is here. Please send us [bahadir@ece.lsu.edu] an email (that includes your name and institution/company) to obtain the password.

References:

  • Murat Gevrekci and Bahadir K. Gunturk, “Superresolution under Photometric Diversity of Images,” EURASIP Journal on Advances in Signal Processing, 2007. [pdf]
  • Murat Gevrekci and Bahadir K. Gunturk, “Super-Resolution Approaches for Photometrically Diverse Image Sequences,” ICASSP 2007.
  • Bahadir K. Gunturk and Murat Gevrekci, “High-Resolution Image Reconstruction from Differently Exposed Images” IEEE Signal Processing Letters, vol.13, no. 4, pp.197-200, April 2006.

The software is provided "as is", without warranty of any kind. In no event shall the authors be liable for any claim, damages or other liability, in connection with the software. The software can be used for non-commercial purposes only. Please reference it appropriately in case of publications.

  • Super-Resolution GUI in C

We are releasing a super resolution (SR) software for researchers. The current release includes an affine motion estimation module and a Maximum A Posteriori (MAP) image reconstruction module. We will extend these modules in future releases.

A graphical user interface (GUI) allows user to add/remove/see images and to change some of the parameters. The software uses the CImg C++ image processing library and the ImageMagick package. The motion estimation module is based on the algorithm of Thévenaz.

Program can be downloaded from here. Please email [lgevre1@lsu.edu] to obtain the password.

Necessary programs to be installed:

      Sample results obtained with this software are shown here. This program is superseded by the Matlab GUI shown above. 

  • Demosaicking Software

      This is the software associated with the paper: 

  • Bahadir K. Gunturk, Yucel Altunbasak, and Russell M. Mersereau, “Color plane interpolation using alternating projections,” IEEE Trans. Image Processing, vol. 11, no. 9, pp. 997-1013, September 2002.

Please email [bahadir@ece.lsu.edu] to obtain the software.

  • Restoration of Bayer Sampled Images

Murat Gevrekci, Bahadir K. Gunturk, and Yucel Altunbasak, “Restoration of Bayer Sampled Image Sequences,” Oxford University Press, Computer Journal, 2007. Color figures of the article can be download from here.

 

 

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