PIZZARO: Forensic analysis and restoration of image and video data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00459504" target="_blank" >RIV/67985556:_____/16:00459504 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.forsciint.2016.04.027" target="_blank" >http://dx.doi.org/10.1016/j.forsciint.2016.04.027</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.forsciint.2016.04.027" target="_blank" >10.1016/j.forsciint.2016.04.027</a>

Result language

angličtina

Original language name

PIZZARO: Forensic analysis and restoration of image and video data

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Forensic Science International

ISSN

0379-0738

e-ISSN

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Volume of the periodical

264

Issue of the periodical within the volume

1

Country of publishing house

IE - IRELAND

Number of pages

14

Pages from-to

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UT code for WoS article

000378623200021

EID of the result in the Scopus database

2-s2.0-84979243208