DocumentCode
3228380
Title
A novel approach for detecting forged image
Author
Zhang, Zhen ; Zhang, PeiYing ; Yu, Zhou
Author_Institution
Sch. of Electr. Eng., Zhengzhou Univ., Zhengzhou, China
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
958
Lastpage
961
Abstract
The advent of digital technology has not only brought about benefits but also some problems, such as the ease of creating image fogery. In this paper, we present a novel approach for tamper localization, which is based on the edge detection. We first process the input image with a smoothing filter, and then we use the LOG (Laplace-Gaussian Operator) edge detector for edge detection. By the evidence from the above steps, we can finally make judgement on missed edge: if the forged region is connected and its size is not less than 0.85% of the whole image size, we can judge that this forgery is significative. The results of our experiments illustrate that the novel approach can accurately detect the trace of blur operation when composite forgery happens. Besides, this approach can precisely locate the forged region.
Keywords
Gaussian processes; Laplace equations; copy protection; edge detection; smoothing methods; Laplace-Gaussian operator; digital technology; edge detection; forged image detection; forged region; image blur; smoothing filter; tamper localization; Artificial neural networks; Image edge detection; Smoothing methods; LOG; edge extracting; smoothing filter; tamper detection; tamper localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645130
Filename
5645130
Link To Document