Date of Award

5-1-2008

Degree Type

Thesis

University or Center

Clark Atlanta University(CAU)

School

School of Arts and Sciences

Degree Name

M.S.

Department

Computer and Information Sciences

First Advisor

Dr. Peter Molnar

Second Advisor

Dr. Roy George

Third Advisor

Dr. Khalil Shujaee

Abstract

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.

Signature Location_Supplemental file.pdf (45 kB)
Notice to Users, Transmittal and Statement of Understanding

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