Single authentication: exposing weighted splining artifacts

Rimba W. Ciptasari

doi:10.1117/12.2222513

19 May 2016 Single authentication: exposing weighted splining artifacts

Rimba W. Ciptasari

Proceedings Volume 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016; 98690I (2016) https://doi.org/10.1117/12.2222513
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

A common form of manipulation is to combine parts of the image fragment into another different image either to remove or blend the objects. Inspired by this situation, we propose a single authentication technique for detecting traces of weighted average splining technique. In this paper, we assume that image composite could be created by joining two images so that the edge between them is imperceptible. The weighted average technique is constructed from overlapped images so that it is possible to compute the gray level value of points within a transition zone. This approach works on the assumption that although splining process leaves the transition zone smoothly. They may, nevertheless, alter the underlying statistics of an image. In other words, it introduces specific correlation into the image. The proposed idea dealing with identifying these correlations is to generate an original model of both weighting function, left and right functions, as references to their synthetic models. The overall process of the authentication is divided into two main stages, which are pixel predictive coding and weighting function estimation. In the former stage, the set of intensity pairs {I_l,I_r} is computed by exploiting pixel extrapolation technique. The least-squares estimation method is then employed to yield the weighted coefficients. We show the efficacy of the proposed scheme on revealing the splining artifacts. We believe that this is the first work that exposes the image splining artifact as evidence of digital tampering.

Citation Download Citation

Rimba W. Ciptasari "Single authentication: exposing weighted splining artifacts", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690I (19 May 2016); https://doi.org/10.1117/12.2222513

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KEYWORDS

Image compression

Infrared imaging

Digital imaging

Image processing

Error analysis

Image analysis

Composites

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