Forensic Reconstruction of Severely Degraded License Plates
Lorch B, Agarwal S, Farid H (2019)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2019
Conference Proceedings Title: Electronic Imaging
Event location: Burlingame, CA
URI: https://faui1-files.cs.fau.de/public/publications/mmsec/2019-Lorch-LP.pdf
DOI: 10.2352/issn.2470-1173.2019.5.mwsf-529
Abstract
Forensic investigations often have to contend with extremely low-quality images that can provide critical evidence. Recent work has shown that, although not visually apparent, information can be recovered from such low-resolution and degraded images. We present a CNN-based approach to decipher the contents of low-quality images of license plates. Evaluation on synthetically-generated and real-world images, with resolutions ranging from 10 to 60 pixels in width and signal-to-noise ratios ranging from -3.0 to 20.0 dB, shows that the proposed approach can localize and extract content from severely degraded images, outperforming human performance and previous approaches.
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How to cite
APA:
Lorch, B., Agarwal, S., & Farid, H. (2019). Forensic Reconstruction of Severely Degraded License Plates. In Society for Imaging Science & Technology (Eds.), Electronic Imaging. Burlingame, CA, US.
MLA:
Lorch, Benedikt, Shruti Agarwal, and Hany Farid. "Forensic Reconstruction of Severely Degraded License Plates." Proceedings of the IS&T Electronic Imaging, Burlingame, CA Ed. Society for Imaging Science & Technology, 2019.
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