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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Franziska Schirrmacher M. Sc.

Researcher in the Computer Vision (CV) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Super-resolution of indecipherable license plates
Ideal case
Reality

In police investigations, a severely degraded image quality leads to an impairment of their success. License plates might give a hint on the suspect, but are often indecipherable. The degradation of the image quality is mainly caused by compression artifacts, low contrast and a low resolution. In order to improve the image quality such that the license plate can be deciphered, super-resolution algorithms are applied to video frames in a post-processing step. Unfortunately, the registration of the frames is not sufficiently accurate to obtain visually pleasing images. Additionally, compression often leads to a loss of information such that super-resolution is not successful.

Click on the images to see the results!