Loading...
Detection of manipulated images
Senapathi, Santoshi
Senapathi, Santoshi
Files
Loading...
Thesis
Adobe PDF, 648.59 KB
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2009-05
Type
Thesis
Genre
Keywords
Subjects (LCSH)
Electronic dissertations
Citation
Abstract
When compared to the existing image formats, JPEG is the most widely used format that
stores digital images using cameras and software based algorithms. Digital images have
widespread use in applications such as surveillance, military, scientific, etc. With the
availability of tools on the internet it is easy to manipulate the digital images. For
instance, a true image when manipulated becomes useless in certain applications. An
image that is supposed to be the source of evidence, if manipulated will be of no use in
some applications. Hence there arises a need to verify the originality of digital images
without the availability of the original image. In this thesis, we have developed a method
to test the originality of a given image. The verification methods are based on computing
DCT (Discrete Cosine Transform) for a given image. The pdf plots for the obtained DCT
coefficients are plotted to observe the characteristics of the plot with the assumed Laplace
distribution function. Later, the parameters of the distribution functions are estimated and
computed using Maximum Likelihood Estimation, in order to test whether a given image
is natural or manipulated.
Table of Contents
Description
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering
Publisher
Wichita State University