Identifying image forgeries using change points detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00381683" target="_blank" >RIV/67985556:_____/11:00381683 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/11:00424939
Result on the web
<a href="http://dx.doi.org/10.1117/12.872510" target="_blank" >http://dx.doi.org/10.1117/12.872510</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.872510" target="_blank" >10.1117/12.872510</a>

Result language
angličtina
Original language name
Identifying image forgeries using change points detection
Original language description
In this paper, we show that methods detecting multiple change points in a discrete distribution of variables can play an effective role in identifying image tampering. Methods analyzing change points deal with detecting abrupt changes in the characteristics of signals. Methods dealing with detecting image tampering isolate a subset of the given image that is significantly different from the rest. Apparently, both groups of methods have similar goals and thus there might be an interesting synergy betweenthese two research fields. Change points detection algorithms can help in automatically detecting altered parts of digital images without any previous training or complicated threshold settings.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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