@conference {18255,
	title = {Noise Features for Image Tampering Detection and Steganalysis},
	booktitle = {Image Processing, 2007. ICIP 2007. IEEE International Conference on},
	volume = {6},
	year = {2007},
	month = {2007/10/16/19},
	pages = {VI -97 -VI -100 - VI -97 -VI -100},
	abstract = {With increasing availability of low-cost image editing softwares, the authenticity of digital images can no longer be taken for granted. Digital images have also been used as cover data for transmitting secret information in the field of steganography. In this paper, we introduce a new set of features for multimedia forensics to determine if a digital image is an authentic camera output or if it has been tampered or embedded with hidden data. We perform such image forensic analysis employing three sets of statistical noise features, including those from denoising operations, wavelet analysis, and neighborhood prediction. Our experimental results demonstrate that the proposed method can effectively distinguish digital images from their tampered or stego versions.},
	keywords = {analysis;cryptography;data, analysis;image, analysis;wavelet, authenticity;hidden, computing;statistical, data;image, denoising, denoising;multimedia, detection;low-cost, editing, encapsulation;feature, extraction;image, features;steganalysis;wavelet, forensic, forensics;neighborhood, image, NOISE, operations;digital, prediction;statistical, softwares;multimedia, tampering, transforms;},
	doi = {10.1109/ICIP.2007.4379530},
	author = {Gou,Hongmei and Swaminathan,A. and M. Wu}
}
@conference {18256,
	title = {Non-Intrusive Forensic Analysis of Visual Sensors Using Output Images},
	booktitle = {Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on},
	volume = {5},
	year = {2006},
	month = {2006/05//},
	pages = {V - V},
	abstract = {This paper considers the problem of non-intrusive forensic analysis of the individual components in visual sensors and its implementation. As a new addition to the emerging area of forensic engineering, we present a framework for analyzing technologies employed inside digital cameras based on output images, and develop a set of forensic signal processing algorithms for visual sensors based on color array sensor and interpolation methods. We show through simulations that the proposed method is robust against compression and noise, and can help identify various processing components inside the camera. Such a non-intrusive forensic framework would provide useful evidence for analyzing technology infringement and evolution for visual sensors},
	keywords = {algorithms;interpolation, analysis;image, analysis;output, array, cameras;forensic, Color, colour, engineering;forensic, forensic, images;visual, methods;nonintrusive, PROCESSING, sensor;digital, sensors;cameras;image, sensors;interpolation;, signal},
	doi = {10.1109/ICASSP.2006.1661297},
	author = {Swaminathan,A. and M. Wu and Liu,K. J.R}
}
