Double resolution from a set of aliased images

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.

Published in:
Proc. IS&T/SPIE Electronic Imaging 2004: Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V, 5301, 374-382
Presented at:
< More Industry Events IS&T/SPIE 16th International Symposium Electronic Imaging: Science and Technology, San Jose, California, USA, 18-22 January 2004

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 Record created 2005-04-18, last modified 2020-10-25

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