Double resolution from a set of aliased images

• Published in: Proc. IS&T/SPIE Electronic Imaging 2004: Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V, vol. 5301, p. 374-382
• Publication date: 2004

In this paper, we present a super-resolution method to approximately double image resolution in both dimensions from a set of four low resolution, aliased images. The camera is shifted and rotated by small amounts between the different image captures. Only the low frequency, aliasing-free part of the images is used to find the shift and rotation parameters. When the images are registered, it is possible to reconstruct a higher resolution, aliasing-free image from the four low resolution images using cubic interpolation. We applied our algorithm in a simulation, where all parameters are known and controlled, as well as in a practical experiment using images taken with a real digital camera. The results obtained in both tests prove the validity of our method.

Keywords: super-resolution imaging ; subpixel planar motion estimation ; shift and rotation estimation ; aliased images ; IVRG ; NCCR-MICS/CL4 ; NCCR-MICS

Reference

• LCAV-CONF-2004-027
• doi:10.1117/12.526478
• View record in Web of Science

Record created on 2005-04-18, modified on 2012-04-21