Title :
Blind Detection of Digital Forgeries Using Detection Trace of Eclosion
Author :
Jing, Tao ; Peng, Yuefeng ; Zhang, Feifei ; Huo, Yan
Author_Institution :
Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
A novel method is presented for blinding detection of digital forgeries based on employing the eclosion when someone forges the digital image. The basic idea of the presented method in this article is analyzing the texture of the image. In other words, at the first place, we decompose the image and then reconstruct the profile. In order to remove a small amount of noise in the texture image, we employ the two-dimensional dual tree complex wavelet transform, and then reconstruct the profile. The experimental results show that the algorithm can locate the edge eclosion exactly without any embedded information such as digital watermark and digital signature.
Keywords :
image denoising; image segmentation; image texture; security of data; trees (mathematics); wavelet transforms; 2D dual tree complex wavelet transform; digital forgery blind detection; digital image forgery; eclosion detection trace; edge eclosion; image decomposition; image noise removal; image texture analysis; profile reconstruction; Digital images; Digital signatures; Eyes; Forgery; Humans; Image edge detection; Image reconstruction; Protection; Watermarking; Wavelet transforms;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365421