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Digital Image Forensics CS 365 By:- - Abhijit Sarang - Pankaj Jindal.

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Presentation on theme: "Digital Image Forensics CS 365 By:- - Abhijit Sarang - Pankaj Jindal."— Presentation transcript:

1 Digital Image Forensics CS 365 By:- - Abhijit Sarang - Pankaj Jindal

2 Which of them are digitally manipulated?

3 How can we know? We call a digital image manipulated if either it has been retouched by a photo editing software or has been produced by the software itself. To prevent the former, the owner of the original image may introduce a watermark or a digital signature. But this process may not be feasible every time. Most approaches for detecting digital image manipulation are blind approaches.

4 Our Methodology In [1], the authors argue that the statistical artifacts associated with images generated from cameras is inherently different form that associated with images manipulated by a software. These properties can be captured by analyzing the noise present in the image. Further, a discrete wavelet transform of the image can also be used to obtain some other statistical features.

5 Building the feature vectors Image De-noising Image was filtered using a wiener adaptive filter and a median filter. Neighborhood model of Wavelet sub bands To capture the strong correlation that exists between the wavelet subband coefficient, we find the residual error by building a neighborhood prediction model. Discrete wavelet transform We find the distance of the sub-bands distribution from the corresponding Gaussian distribution.

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8 Results Image denoising True Positive = 37/47 False Positive = 21/53 Neighborhood model of Wavelet sub bands True Positive = 32/47 False Positive = 11/53 Discrete wavelet transform True Positive = 34/47 False positive = 15/53

9 Detecting Fake Regions Detecting abnormal noise patterns in Image Detecting Duplicated Image Regions

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11 References Digital image Forensics For Identifying Computer Generated And Digital Camera Images Sintayehu Dehnie, Taha Sencar and Nasir Memon Exposing Digital Forgeries by Detecting Duplicated Image Regions Alin C Popescu and Hany Farid Noise Features for Image Tampering Detection and Steganalysis Hongmei Gou, Swaminathan, A., Min Wu How realistic is photorealistic? Siwei Lyu and Hany Farid


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