Abstract
Society is becoming increasingly dependent on the internet and so does it become more and more vulnerable to harmful threats. These threats are becoming vigorous and continuously evolving. These threats distorted the authenticity of data transmitted through the internet. As we all completely or partially rely upon this transmitted data. Hence, its authenticity needs to be preserved. Images have the potential of conveying much more information as compared to the textual content. We pretty much believe everything that we see. In order to preserve/check the authenticity of images, image forgery detection techniques are expanding its domain. Detection of forgeries in digital images is in great need in order to recover the people’s trust in visual media. This paper is going to discuss different types of image forgery and blind methods for image forgery detection. It provides the comparative tables of various types of techniques to detect image forgery. It also gives an overview of different datasets used in various approaches of forgery detection.
Highlights
Image Forgery is not a modern concept as it comes along with the invention of photography
Image Forgery begins with the first known fake image that was of Hippolyta Bayard, who released a fake picture of him committing suicide as an act of annoyance for the sake of losing the tag of inventor of photography to Louis Daguerre in 1840 [1]
Confirmation of an images authenticity is needed. Such confirmation is done with the help of image forgery detection techniques
Summary
Image Forgery is not a modern concept as it comes along with the invention of photography It comes in the limelight nowadays, with the invent of accessible digital cameras supported with image editing software tools. Manipulation of visual media with such available tools is no longer a herculean task [3]. It is not concerned whether an image is fake or not, until or unless it causes some harm. Confirmation of an images authenticity is needed Such confirmation is done with the help of image forgery detection techniques. These methods aim at validating the authenticity of images. This paper aims to review the existing types of forgeries and their detection techniques
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