Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/17821
Title: Digital image forensices
Authors: Jin, Jing
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2009
Abstract: The unique stature of photographs as a definitive recording of events is being diminished due, in part, to the ease with which digital images can be manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. In this project, the author tried to justify whether the given image sets were up sampled or down sampled at certain resampling rate by two approaches and therefore determine which image was closer to the original one. One was to detect the periodic pattern in the probability map across images using Expectation/Maximization algorithm. The other was to resample the smaller one to the same size of the larger image and then analyze the difference by Gabor filter and produce the classification by Fisher Linear Discriminant Analysis.
URI: http://hdl.handle.net/10356/17821
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
e_A3159-081.pdf
  Restricted Access
1.91 MBAdobe PDFView/Open

Page view(s) 50

365
Updated on Jun 26, 2022

Download(s)

9
Updated on Jun 26, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.