PIZZARO: Forensic analysis and restoration of image and video data

This paper introduces a set of methods for image and video forensic analysis. They were designed to help to assess image and video credibility and origin and to restore and increase image quality by diminishing unwanted blur, noise, and other possible artifacts. The motivation came from the best pra...

Full description

Saved in:
Bibliographic Details
Published in:Forensic science international 2016-07, Vol.264, p.153-166
Main Authors: Kamenicky, Jan, Bartos, Michal, Flusser, Jan, Mahdian, Babak, Kotera, Jan, Novozamsky, Adam, Saic, Stanislav, Sroubek, Filip, Sorel, Michal, Zita, Ales, Zitova, Barbara, Sima, Zdenek, Svarc, Petr, Horinek, Jan
Format: Article
Language:English
Subjects:
Algorithms
Archiving
Automation
Cameras
Computer programs
Cooperation
Crime
Criminal investigations
Electric noise
Forensic engineering
Forensic sciences
Forgery
Image forensic analysis
Image processing
Image quality
Image restoration
Image source identification
Image tampering detection
Mathematical models
Metadata
Methods
Quality
Software
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper introduces a set of methods for image and video forensic analysis. They were designed to help to assess image and video credibility and origin and to restore and increase image quality by diminishing unwanted blur, noise, and other possible artifacts. The motivation came from the best practices used in the criminal investigation utilizing images and/or videos. The determination of the image source, the verification of the image content, and image restoration were identified as the most important issues of which automation can facilitate criminalists work. Novel theoretical results complemented with existing approaches (LCD re-capture detection and denoising) were implemented in the PIZZARO software tool, which consists of the image processing functionality as well as of reporting and archiving functions to ensure the repeatability of image analysis procedures and thus fulfills formal aspects of the image/video analysis work. Comparison of new proposed methods with the state of the art approaches is shown. Real use cases are presented, which illustrate the functionality of the developed methods and demonstrate their applicability in different situations. The use cases as well as the method design were solved in tight cooperation of scientists from the Institute of Criminalistics, National Drug Headquarters of the Criminal Police and Investigation Service of the Police of the Czech Republic, and image processing experts from the Czech Academy of Sciences.
ISSN:0379-0738
1872-6283
DOI:10.1016/j.forsciint.2016.04.027