Image Forgery Detection and Localization via a Reliability Fusion Map

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...

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...

Advanced Digital Image Forgery Detection: a Review

The use of digital photography has increased over the past few years, the trend which opens the door for new and creative ways to forge images. Now a day’s several software’s are available that are used to manipulate image so that the image is look like as original. Images are used as authenticated proof for any crime and if these image does not remain genuine than it will create a problem. Det...

Image Forgery and Detection of Copy Move Forgery in Digital Images: A Survey of Recent Forgery Detection Techniques

With the development of Image processing editing tools and software, an image is manipulated very easily. The image manipulation detection is essential for the reason that an image can be employed as legal evidence, in the field of forensics investigations, and also in numerous various other fields. The image forgery detection based on pixels aims to validate the digital image authenticity with...