DocumentCode :
2027739
Title :
Tamper Detection Based on Regularity of Wavelet Transform Coefficients
Author :
Sutcu, Y. ; Coskun, B. ; Sencar, H.T. ; Memon, N.
Author_Institution :
Polytech. univ., Brooklyn
Volume :
1
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Powerful digital media editing tools make producing good quality forgeries very easy for almost anyone. Therefore, proving the authenticity and integrity of digital media becomes increasingly important. In this work, we propose a simple method to detect image tampering operations that involve sharpness/blurriness adjustment. Our approach is based on the assumption that if a digital image undergoes a copy-paste type of forgery, average sharpness/blurriness value of the forged region is expected to be different as compared to the non-tampered parts of the image. The method of estimating sharpness/blurriness value of an image is based on the regularity properties of wavelet transform coefficients which involves measuring the decay of wavelet transform coefficients across scales. Our preliminary results show that the estimated sharpness/blurriness scores can be used to identify tampered areas of the image.
Keywords :
image processing; security of data; wavelet transforms; copy-paste type forgery; digital media authenticity; digital media editing tools; digital media integrity; good quality forgeries; image blurriness adjustment; image sharpness adjustment; image tampering; tamper detection; wavelet transform decay measurement; Authentication; Cameras; Digital images; Forgery; Image processing; Law; Robustness; Statistics; Watermarking; Wavelet transforms; Digital Forensics; Forgery Detection; Image Authentication; Regularity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4378975
Filename :
4378975
Link To Document :
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