DocumentCode :
2228951
Title :
Wavelet Based Region Duplication Forgery Detection
Author :
Wang, Yang ; Gurule, Kaitlyn ; Wise, Jacqueline ; Zheng, Jun
Author_Institution :
Dept. of Comput. Sci. & Eng., New Mexico Inst. of Min. & Technol., Socorro, NM, USA
fYear :
2012
fDate :
16-18 April 2012
Firstpage :
30
Lastpage :
35
Abstract :
With the assistance of editing tools, digital images can be easily tampered without leaving many clues. As a result, the authenticity and integrity of digital images are no longer reliable, which is critical when the images are used as evidence in court or widely spread in public. Region duplication is a commonly used tampering technique for digital images, which a region is copied from an image and pasted to another region of the same image. This technique is used to hide important objects or for decoration. In this paper, we propose a wavelet-based approach to detect region duplication forgery. The image is divided into overlapped blocks with fixed size. The multilevel 2D discrete wavelet transform is then applied to each block. We extract the discriminative features from the wavelet coefficients of a block. The feature vectors of all blocks are lexicographically sorted and the block matching step is applied to find the duplicated blocks. Experimental results demonstrate that the proposed wavelet-based method can successfully detect the duplicated regions. It can also achieve better performance than the DCT-based method, especially when the images are heavily distorted with noises.
Keywords :
data integrity; discrete wavelet transforms; feature extraction; image coding; image matching; image segmentation; security of data; block duplication; block matching; block overlapping; digital image authenticity; digital image integrity; digital image tampering technique; discriminative feature extraction; editing tools; feature vectors; image distortion; lexicographical block sorting; multilevel 2D discrete wavelet transform; object hiding; wavelet coefficients; wavelet-based region duplication forgery detection; Digital images; Discrete wavelet transforms; Feature extraction; Forgery; Noise; Transform coding; Vectors; digital image forgery; discrete wavelet transform; energy signatures; lexicographically sorting; region duplication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2012 Ninth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-0798-7
Type :
conf
DOI :
10.1109/ITNG.2012.13
Filename :
6209143
Link To Document :
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