Image Forgery Detection and Localization

Vision Based Image Forgery Detection

Abstract: Nowadays, digital images can be easily modified by using high-performance computers, sophisticated photo-editing, computer graphics software, etc. These modifications will affect the authenticity of images, from law, politics, the media, and business. Detecting forgery in digital images is one of the major research activities in the current time. In general, altering the digital image...

Image Forgery Detection [ A survey

A novel framework for image forgery localization

Image forgery localization is a very active and open research field for the difficulty to handle the large variety of manipulations a malicious user can perform by means of more and more sophisticated image editing tools. Here, we propose a localization framework based on the fusion of three very different tools, based, respectively, on sensor noise, patch-matching, and machine learning. The bi...

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

Current satellite imaging technology enables shooting highresolution pictures of the ground. As any other kind of digital images, overhead pictures can also be easily forged. However, common image forensic techniques are often developed for consumer camera images, which strongly differ in their nature from satellite ones (e.g., compression schemes, post-processing, sensors, etc.). Therefore, ma...

Advanced Techniques for Image Forgery Detection

Image forgery means manipulation of digital image to conceal meaningful information of the image. The detection of forged image is driven by the need of authenticity and to maintain integrity of the image. A copy–move forgery detection theme victimization adaptive over segmentation and have purpose feature matching is proposed. The proposed scheme integrates both block-based and key point-based...