Katsaggelos, Aggelos K.

Mateos, Javier

Molina, Rafael

Murtagh, Fionn

Rosenberg, Duska

Vega, Miguel

Villena, Salvador

English

Salvador Villena

Miguel Vega

Javier Mateos

Duska Rosenberg

Fionn Murtagh

Rafael Molina

Aggelos K. Katsaggelos

Crossref

Computers in Industry

Image super-resolution for outdoor digital forensics. Usability and legal aspects

Digital Forensics encompasses the recovery and investigation of data, images, and recordings found in digital devices in order to provide evidence in the court of law. This paper is devoted to the assessment of digital evidence which requires not only an understanding of the scientific technique that leads to improved quality of surveillance video recordings, but also of the legal principles behind it. Emphasis is given on the special treatment of image processing in terms of its handling and explanation that would be acceptable in a court of law. In this context, we propose a variational Bayesian approach to multiple-image super-resolution based on Super-Gaussian prior models that automatically enhances the quality of outdoor video recordings and estimates all the model parameters while preserving the authenticity, credibility and reliability of video data as digital evidence. The proposed methodology is validated both quantitatively and visually on synthetic videos generated from single images and real-life videos and applied to a real-life case of damages and stealing in a private property

Huddersfield Research Portal

https://pure.hud.ac.uk/ws/files/12535345/Villena_et_al_Image_super_resolution_for_outdoor_digital_forensics_ComputersInIndustry_Feb2018.pdf

Image super-resolution for outdoor digital forensics. Usability and legal aspects

Abstract

Similar works

Full text

Available Versions

Crossref

Huddersfield Research Portal