Detecting image manipulations without the original, 2008
Priester, Marquita B.
2000-2009
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.
text
application/pdf
2008-05-01
thesis
Master of Science (MS)
Clark Atlanta University
School of Arts and Sciences, Computer and Information Sciences
Molnar, Peter George, Roy Shujaee, Khalil
Georgia--Atlanta
http://hdl.handle.net/20.500.12322/cau.td:2008_priester_marquita_b
