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Volume: 31 | Article ID: art00005
Forensic Reconstruction of Severely Degraded License Plates
  DOI :  10.2352/ISSN.2470-1173.2019.5.MWSF-529  Published OnlineJanuary 2019

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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Benedikt Lorch, Shruti Agarwal, Hany Farid, "Forensic Reconstruction of Severely Degraded License Platesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2019,  pp 529-1 - 529-7,

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