Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

The authenticity and reliability of digital images are increasingly important due to the ease in
modifying such images. Thus, the capability to identify image manipulation is a current …

We propose a new algorithm for the accurate detection and localization of copy-move
forgeries, based on rotation-invariant features computed densely on the image. Dense-field …

Copy-move forgery is one of the most commonly used manipulations for tampering digital
images. Keypoint-based detection methods have been reported to be very effective in …

Editing a real-world photo through computer software or mobile applications is one of the
easiest things one can do today before sharing the doctored image on one's social …

This paper presents a novel dataset for image and face manipulation detection and
localization called DEFACTO. The dataset was automatically generated using Microsoft …

A large number of digital photos are being generated and with the help of advanced image
editing software and image altering tools, it is very easy to manipulate a digital image …

This work presents a new approach toward copy-move forgery detection based on multi-
scale analysis and voting processes of a digital image. Given a suspicious image, we extract …

With the advent of powerful image editing tools, manipulating images and changing their
content is becoming a trivial task. Now, you can add, change or delete significant information …

Copy-move forgery is one of the most popular tampering artifacts in digital images. Most
existing keypoint-based detection methods may fail to precisely locate duplicated regions …