Nandita Dalmia
ABSTRACT
The Double JPEG problem in image forensics has been gaining importance since it involves two compression cycles and there is a possibility of tampering having taken place after the first cycle thereby calling for accurate methods to detect and localize the introduced tamper. First quantization matrix estimation which basically retrieves the missing quantization table of the first cycle is one of the ways of image authentication for Double JPEG images. This paper presents a robust method for first quantization matrix estimation in case of double compressed JPEG images by improving the selection strategy which chooses the quantization estimate from the filtered DCT histograms. The selection strategy is made robust by increasing the available statistics utilizing the DCT coefficients from the double compressed image under investigation coupled with performing relative comparison between the obtained histograms followed by a novel priority assignment and selection step, which accurately estimates the first quantization value. Experimental testing and comparative analysis with two state-of-art methods show the robustness of the proposed method for accurate first quantization estimation. The proposed method finds its application in image forensics as well as in steganalysis.
- T. Bianchi and A. Piva. Image forgery localization via block-grained analysis of JPEG artifacts. IEEE Transactions on Information Forensics and Security, 7(3):1003--1017, June 2012. Google Scholar
Digital Library
- G. Cao, Y. Zhao, R. Ni, and X. Li. Contrast enhancement-based forensics in digital images. IEEE Transactions on Information Forensics and Security, 9(3):515--525, March 2014. Google ScholarDigital Library
- Y. L. Chen and C. T. Hsu. Detecting recompression of JPEG images via periodicity analysis of compression artifacts for tampering detection. IEEE Transactions on Information Forensics and Security, 6(2):396--406, June 2011. Google ScholarDigital Library
- H. Farid. Exposing digital forgeries from JPEG ghosts. IEEE Transactions on Information Forensics and Security, 4(1):154--160, March 2009. Google ScholarDigital Library
- J. Fridrich. Digital image forensics. Signal Processing Magazine, IEEE, 26(2):26--37, March 2009.Google ScholarCross Ref
- J. Fridrich, M. Goljan, and D. Hogea. Steganalysis of JPEG images: Breaking the F5 algorithm. In 5th International Workshop on Information Hiding, IH '02, pages 310--323, 2003. Google ScholarDigital Library
- F. Galvan, G. Puglisi, A. R. Bruna, and S. Battiato. First quantization matrix estimation from double compressed JPEG images. IEEE Transactions on Information Forensics and Security, 9(8):1299--1310, Aug 2014. Google ScholarDigital Library
- E. Kee, M. K. Johnson, and H. Farid. Digital image authentication from JPEG headers. IEEE Transactions on Information Forensics and Security, 6(3):1066--1075, Sept 2011. Google ScholarDigital Library
- T. V. Lanh, K. S. Chong, S. Emmanuel, and M. S. Kankanhalli. A survey on digital camera image forensic methods. In 2007 IEEE International Conference on Multimedia and Expo, pages 16--19, July 2007.Google ScholarCross Ref
- W. S. Lin, S. K. Tjoa, H. V. Zhao, and K. J. R. Liu. Digital image source coder forensics via intrinsic fingerprints. IEEE Transactions on Information Forensics and Security, 4(3):460--475, Sept 2009. Google ScholarDigital Library
- J. Lukas and J. Fridrich. Estimation of primary quantization matrix in double compressed JPEG images. In Digit. Forensic Res. Workshop (DFRWS), pages 5--8, 2003.Google Scholar
- W. Luo, J. Huang, and G. Qiu. JPEG error analysis and its applications to digital image forensics. IEEE Transactions on Information Forensics and Security, 5(3):480--491, Sept 2010. Google ScholarDigital Library
- T. Pevny and J. Fridrich. Detection of double-compression in JPEG images for applications in steganography. IEEE Transactions on Information Forensics and Security, 3(2):247--258, June 2008. Google ScholarDigital Library
- G. Schaefer and M. Stich. UCID: an uncompressed color image database. In Proc. SPIE, volume 5307, pages 472--480, 2003.Google Scholar
- M. C. Stamm, M. Wu, and K. J. R. Liu. Information forensics: An overview of the first decade. IEEE Access, 1:167--200, 2013.Google ScholarCross Ref
Index Terms
- First quantization matrix estimation for double compressed JPEG images utilizing novel DCT histogram selection strategy
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