Digital camera noise information is useful in various applications: image enhancement and
postprocessing, device selection for a particular system, recognition, decision making, and …

The goal of this paper is to design a statistical test for the camera model identification
problem. The approach is based on the generalized noise model that is developed by …

To deal with the problem of image forgery detection, many forensic tools have been
proposed. Most existing tools perform efficiently in a supervised scenario with a large …

Counterfeiting of consumer goods is a critical problem which causes various negative
impacts for consumers, enterprises and the whole economic ecosystem. Anti-counterfeit …

This paper focuses on the digital image authentication and forgery localization using
demosaicing artifacts. The aim is to build an algorithm allowing a bridge between the color …

In this paper, we present the Block-Matching Fuzzy C-Means (BMFCM) clustering algorithm
to segment RGB color images degraded with Additive White Gaussian Noise (AWGN). The …

The goal of this paper is to investigate the problem of source camera device identification for
natural images in JPEG format. We propose an improved signal-dependent noise model …

An archetype signal dependent noise (SDN) model is a component used in analyzing
images or signals acquired from different technologies. This model-component may share …

The vulnerability of most existing face recognition and authentication systems against face
presentation attacks (aka face spoofing attacks) has been mentioned and studied in many …

The goal of this paper is to design a statistical test for the camera model identification
problem from JPEG images. The approach focuses on extracting information in Discrete …