Mdsp Resolution Enhancement Software User's Manual

who is the principal architect of the code, with significant contributions from Dirk Robinson, particularly on the motion estimation algorithms. This software package is available for licensing. Please contact Prof. Peyman Milanfar (milanfar@ee.ucsc.edu) if you wish to obtain this code for research or commercial purposes. Abstract This software suite is a Matlab-based package for resolution enhancement from video, developed at the Multi-Dimensional Signal Processing (MDSP) research lab at the University of California at Santa Cruz. The main objective of this software tool is the implementation of several super-resolution techniques. In particular, the techniques described in [1], [2], and [3] and several references therein are included. The techniques implemented cover robust methods, dynamic color super-resolution methods, and simultaneous demosaicing and resolution enhancement. This software also allows the user to create data sets for different simulation purposes. The input images may have the " .AVI " or " .mat " formats. All output sequences can be saved as " .mat " , or " .AVI " formats. The output results can also be shown as MATLAB figures and therefore they can be saved in almost any imaging format

[1]  Michael Elad,et al.  Multiframe demosaicing and super-resolution from undersampled color images , 2004, IS&T/SPIE Electronic Imaging.

[2]  Michael Elad,et al.  Advances and challenges in super‐resolution , 2004, Int. J. Imaging Syst. Technol..

[3]  Michael Elad,et al.  A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur , 2001, IEEE Trans. Image Process..

[4]  Shmuel Peleg,et al.  Robust super-resolution , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  Michael Elad,et al.  Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.

[6]  Michael Elad,et al.  Robust shift and add approach to superresolution , 2003, SPIE Optics + Photonics.