Today manipulation of digital images has become easy due to powerful computers,
advanced photo-editing software packages and high resolution capturing devices. Verifying …

One of the principal problems in image forensics is determining if a particular image is
authentic or not. This can be a crucial task when images are used as basic evidence to …

Due to the easily available software for tampering images, image manipulation has become
quite common. Since the tampered images are non-distinguishable by the naked eye, they …

Rectifying the orientation of scanned documents has been an important problem that was
solved long ago. In this paper, we focus on the harder case of estimating and correcting the …

Noise discrepancies in multiple scales are utilized as indicators for image splicing forgery
detection in this paper. Specifically, the test image is initially segmented into superpixels of …

Resampling detection is one of the most important topics in image forensics, and the most
widely used method in resampling detection is spectral analysis. Since JPEG is the most …

Resampling is an extremely well-known technique performed for Image forgery detection. It
includes the changes in the content of a picture in terms of rotation, stretching/zooming, and …

The forensic analysis of resampling traces in upscaled images is addressed via subspace
decomposition and random matrix theory principles. In this context, we derive the asymptotic …

In visual perception, distant objects appear smaller than those close to the observer. To
insert an object into an image, properly size a foreign object is difficult, especially when …

In the domain of general image forgery detection, a myriad of different classification
solutions have been developed to distinguish a “tampered” image from a “pristine” image. In …