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 :
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