利用色彩濾片陣列及旋轉不變特性之影像鑑識系統

廖正豪

doi:10.6841/NTUT.2010.00071

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利用色彩濾片陣列及旋轉不變特性之影像鑑識系統

Image Forensics System Utilizing Color Filter Array and Rotation Invariant Property

廖正豪 , Masters　　Advisor：郭天穎　　

繁體中文 DOI： 10.6841/NTUT.2010.00071

影像鑑識；來源辨識；篡改偵測；色彩濾片陣列；複製區域偵測；澤尼克動量； Image Forensics ； Source Identification ； Tamper Detection ； Color Filter Array ； Duplicated Region Detection ； Zernike Moments

Abstract │ Reference (33) │ Times Cited (1) │ Altmetrics

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In recent years, due to the widespread use of digital imaging devices and sophisticated image editing software, it is getting easier to create and alter digital images. As a result, digital image forensics techniques become an important issue nowadays. In this thesis, we develop an image forensics system based on multiple detection techniques, including two existing literature approaches and the proposed two new methods.
Our first proposed method is based on the Color Filter Array (CFA) periodic characteristics. We improve the literature Expectation Maximization (EM) algorithm to get the Maximum A Posterior Probability (MAP) for distinguishing photographic images and photorealistic computer generated images. It can also helps localize tampered image regions automatically. The second proposed method concentrates on forgery detection on duplicated region. The suspicious image is split into circle blocks, and then the concentric circle mean and Zernike moments are calculated as the feature vectors for every circle block. The feature vectors are sorted by lexicographical order, and then searched for similar pairs. Thus, the similar circle blocks can be matched by a pre-defined similarity threshold. Compared with the literature methods, our methods can improve the detection of the duplicated region forgery with any angle rotation and vertical and horizontal flipping. The experimental results and analyses demonstrate that the proposed methods are robust in forgery detection.

Reference ( 33 ) 〈TOP〉

[1] A. Haouzia and R. Noumeir, “Methods for Image Authentication: A Survey,” Springer Netherlands, Multimedia Tools and Applications, Vol. 39. No. 1, pp. 1-46, Aug. 2008.
連結：
[2] H. Farid, “Digital Image Forensics,” Scientific American Magazine, pp. 66-71, June 2008.
連結：
[3] H. T. Sencar and N. Memon, “Overview of State-of-the-Art in Digital Image Forensics,” Statistical Science and Interdisciplinary Research. World Scientific Press, Singapore, 2008.
連結：
[4] B. Mahdian and S. Saic, “Blind Methods for Detecting Image Fakery,” IEEE International Carnahan Conference on Security Technology, pp. 280-286, Oct. 2008.
連結：
[5] T. V. Lanh, K. S. Chong, S. Emmanuel and M. S. Kankanhalli, “A Survey on Digital Camera Image Forensic Methods,” IEEE International Conference on Multimedia and Expo, pp. 16-19, July 2007.
連結：

Times Cited (1) 〈TOP〉

卓宥亦(2013)。利用多尺度區域雜訊不一致性之影像拼接偵測。臺北科技大學電機工程系所學位論文。2013。1-61。

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