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Detecting image manipulations without the original

This study examines whether image manipulations can be detected without the original image present. The idea for the study was based on the premise that there is currently no existing benchmark for determining if an image was manipulated. A case study analysis approach was used to analyze data gathered in order to determine if noticeable differences could be recognized between the original image and the altered images based on the defmed tests. The researcher found that there are significant differences between the test images and based on the defmed tests, there possibly exists criteria to defme an altered image. The conclusions drawn from the findings suggest that there exists specific tests that can indicate an altered image.

Identiferoai:union.ndltd.org:auctr.edu/oai:digitalcommons.auctr.edu:dissertations-2141
Date01 May 2008
CreatorsPriester, Marquita B.
PublisherDigitalCommons@Robert W. Woodruff Library, Atlanta University Center
Source SetsAtlanta University Center
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceETD Collection for Robert W. Woodruff Library, Atlanta University Center

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