We consider the generic problem of detecting low-level structures in images, which includes
segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow …

Witnessing impressive results of deep nets in a number of computer vision problems, the
image forensic community has begun to utilize them in the challenging domain of detecting …

Image composition is one of the most important applications in image processing. However,
the inharmonious appearance between the spliced region and background degrade the …

Image splicing can be easily used for illegal activities such as falsifying propaganda for
political purposes and reporting false news, which may result in negative impacts on society …

Copy-move forgery detection identifies a tampered image by detecting pasted and source
regions in the same image. In this paper, we propose a novel two-stage framework specially …

The detection and location of image splicing forgery are a challenging task in the field of
image forensics. It is to study whether an image contains a suspicious tampered area pasted …

Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …

With the large chunks of social media data being created daily and the parallel rise of
realistic multimedia tampering methods, detecting and localising tampering in images and …

Foreground segmentation is a fundamental problem in computer vision, which includes
salient object detection, forgery detection, defocus blur detection, shadow detection, and …

Image splicing can easily be used in illegal activities, which may have negative impact on
society. Therefore, detecting splicing images and precisely localizing tampered regions are …