Title :
Detecting Digital Image Forgeries Through Weighted Local Entropy
Author :
Zhang, Chi ; Zhang, Hongbin
Author_Institution :
Beijing Univ. of Technol., Beijing
Abstract :
In this paper, we propose a new method that could reveal some traces that were left in the tampered digital images without using watermarking technique. Our method is based on detecting the presence of feather operation, which is particularly useful to create a smooth transition between the selected region and its surroundings. The similarity of pixel neighborhood is used as weight coefficient to modulate local entropy value. The forged region can be determined by the value of weighted local entropy precisely. Results of experiments on tampered images will be given.
Keywords :
watermarking; digital image forgery detection; digital tampering; digital watermarking; smooth transition; weighted local entropy; Digital forensics; Digital images; Digital signal processing; Entropy; Feathers; Forgery; Image generation; Information technology; Software tools; Watermarking; Weighted Local Entropy; digital forensics; digital tampering;
Conference_Titel :
Signal Processing and Information Technology, 2007 IEEE International Symposium on
Conference_Location :
Giza
Print_ISBN :
978-1-4244-1835-0
Electronic_ISBN :
978-1-4244-1835-0
DOI :
10.1109/ISSPIT.2007.4458021