A fast source-oriented image clustering method for digital 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...

Digital Image Forensics

Text Clustering for Digital Forensics Analysis

In the last decades digital forensics has become a prominent activity in modern investigations. Seized digital devices can provide precious information and evidences about facts and/or individuals on which the investigational activity is performed. Due to the complexity of this inquiring activity and to the large amount of the data to be analyzed, the choice of appropriate digital tools to supp...

Blind Method for Image Forgery Detection: A tool for Digital Image Forensics

Undoubtedly, we are living in era of digital information and technology. In this revolutionized world of digital information, we are exposed to a remarkable array of visual imagery. With sophisticated image editing tools and software‟s, it is very easy to manipulate and temper the digital images, thereby questioning the trustworthiness of it. This paper presents a method based on a statistical ...

Contrast Enhancement Estimation for Digital Image Forensics

Inconsistency in contrast enhancement can be used to expose imagel forgeries. In this work, we describe a new method to estimate contrast enhancement from a single image. Our method takes advantage of the nature of contrast enhancement as a mapping between pixel values, and the distinct characteristics it introduces to the image pixel histogram. Our method recovers the original pixel histogram ...