Proceedings ArticleDOI
A classifier design for detecting image manipulations
Ismail Avcibas,Sevinc Bayram,N. Memon,Mahalingam Ramkumar,Bulent Sankur +4 more
- Vol. 4, pp 2645-2648
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TLDR
A novel way of measuring the distortion between two images, one being the original and the other processed, is proposed, which helps to tell if some part of an image has undergone a particular or a combination of processing methods.Abstract:
In this paper we present a framework for digital image forensics. Based on the assumptions that some processing operations must be done on the image before it is doctored and an expected measurable distortion after processing an image, we design classifiers that discriminates between original and processed images. We propose a novel way of measuring the distortion between two images, one being the original and the other processed. The measurements are used as features in classifier design. Using these classifiers we test whether a suspicious part of a given image has been processed with a particular method or not. Experimental results show that with a high accuracy we are able to tell if some part of an image has undergone a particular or a combination of processing methods.read more
Citations
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Journal ArticleDOI
Determining Image Origin and Integrity Using Sensor Noise
TL;DR: A unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformity noise (PRNU), which is a unique stochastic fingerprint of imaging sensors is provided.
Journal ArticleDOI
Exposing digital forgeries in color filter array interpolated images
Alin C. Popescu,Hany Farid +1 more
TL;DR: This work quantifies the specific correlations introduced by CFA interpolation, and describes how these correlations can be automatically detected in any portion of an image and shows the efficacy of this approach in revealing traces of digital tampering in lossless and lossy compressed color images interpolated with several different CFA algorithms.
Journal ArticleDOI
Exposing Digital Forgeries From JPEG Ghosts
TL;DR: A technique to detect whether the part of an image was initially compressed at a lower quality than the rest of the image is described, applicable to images of high and low quality as well as resolution.
Journal ArticleDOI
An Overview on Image Forensics
TL;DR: The aim of this survey is to provide a comprehensive overview of the state of the art in the area of image forensics by classifying the tools according to the position in the history of the digital image in which the relative footprint is left: acquisition- based methods, coding-based methods, and editing-based schemes.
Journal ArticleDOI
Digital image forgery detection using passive techniques: A survey
TL;DR: An attempt is made to survey the recent developments in the field of digital image forgery detection and a complete bibliography is presented on blind methods for forgery Detection.
References
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Book
Methods of multivariate analysis
TL;DR: In this article, the authors describe and display multivariate data, characterizing and displaying Multivariate Data, Characterizing and Displaying Multivariate data and characterising and displaying multivariate Data.
Journal ArticleDOI
Statistical evaluation of image quality measures
TL;DR: It was found that measures based on the phase spectrum, the multireso- lution distance or the HVS filtered mean square error are computa- tionally simple and are more responsive to coding artifacts.
Journal ArticleDOI
Steganalysis using image quality metrics
TL;DR: Simulation results with the chosen feature set and well-known watermarking and steganographic techniques indicate that the proposed approach is able with reasonable accuracy to distinguish between cover and stego images.