Computer Graphics
TU Braunschweig

Photo Zoom


We present a system to automatically construct high resolution images from an unordered set of low resolution photos. It consists of an automatic preprocessing step to establish correspondences between any given photos. The user may then choose one image and the algorithm automatically creates a higher resolution result, several octaves larger up to the desired resolution. Our recursive creation scheme allows to transfer specific details at subpixel positions of the original image. It adds plausible details to regions not covered by any of the input images and eases the acquisition for large scale panoramas spanning different resolution levels.


Alexander Lerpe:
Detail Hallucinated Image Interpolation
Master's thesis, TU Braunschweig, May 2013.

Martin Eisemann, Marcus Magnor:
ZIPMAPS: Zoom-Into-Parts Texture Maps
in Proc. Vision, Modeling and Visualization (VMV), pp. 291-297, November 2010.

Martin Eisemann, Elmar Eisemann, Hans-Peter Seidel, Marcus Magnor:
Photo Zoom: High Resolution from Unordered Image Collections
Poster @ SIGGRAPH 2010, July 2010.
Semi-Finalist in the Student Research Competition

Martin Eisemann, Marcus Magnor:
ZIPMAPs: Zoom-into-parts texture maps
Technical Report no. 8, Computer Graphics Lab, TU Braunschweig, November 2008.