Digital image source coder forensics via intrinsic fingerprints

A Comprehensive Study of Passive Digital Image Forensics Techniques based on Intrinsic Fingerprints

Over the past decade digital images has become a very popular way to communicate, store and process information. With the rapid advancement and easy availability of technology, there is a flood of devices that are able to capture, store and create digital images. Over the past years image processing techniques have been developed that makes it really easy to tamper images. From journalism to so...

Digital Image Forensics

A fast source-oriented image clustering method for digital forensics

We present in this paper an algorithm that is capable of clustering images taken by an unknown number of unknown digital cameras into groups, such that each contains only images taken by the same source camera. It first extracts a sensor pattern noise (SPN) from each image, which serves as the fingerprint of the camera that has taken the image. The image clustering is performed based on the pai...

Natural image statistics in digital image forensics

Natural Image Statistics for Digital Image Forensics

Image Noise and Digital Image Forensics

Noise is an intrinsic specificity of all forms of imaging, and can be found in various forms in all domains of digital imagery. This paper offers an overall review of digital image noise, from its causes and models to the degradations it suffers along the image acquisition pipeline. We show that by the end of the pipeline, the noise may have widely different characteristics compared to the raw ...