  Image splicing is a common form of image forgery. Such alterations may leave
no visual clues of tampering. In recent works camera characteristics
consistency across the image has been used to establish the authenticity and
integrity of digital images. Such constant camera characteristic properties are
inherent from camera manufacturing processes and are unique. The majority of
digital cameras are equipped with spherical lens and this introduces radial
distortions on images. This aberration is often disturbed and fails to be
consistent across the image, when an image is spliced. This paper describes the
detection of splicing operation on images by estimating radial distortion from
different portions of the image using line-based calibration. For the first
time, the detection of image splicing through the verification of consistency
of lens radial distortion has been explored in this paper. The conducted
experiments demonstrate the efficacy of our proposed approach for the detection
of image splicing on both synthetic and real images.
