Abstract
Due to the availability of powerful image editing softwares, forgers can tamper the image content easily. There are various types of image forgery, such as image splicing and region duplication forgery. Region duplication is one of the most common manipulations used for tampering digital images. It is vital in image forensics to authenticate the digital image. In this paper, a novel region duplication forgery detection approach is proposed. By segmenting the input image based on the colour features, sufficient number of centroids are produced, that exist even in small or smooth regions. Then, the Least Significant Bit (LSB) of all the colours of pixels in each segment are extracted to build the signature vector. Finally, the hamming distance is calculated through exploiting the signature vector of image to find the dissimilarity. Various experimental results are provided to demonstrate the superior performance of the proposed scheme under some post processing operations such as scaling attack.
Highlights
The trustworthiness of images is a vital role in many scopes, including court image forensics, medical imaging, criminal investigations, news media, etc
This brings a new challenge toward implementing digital image forensic methods to answer the question: If a digital image has been retouched, what regions have been forged in the image?
The performance of the proposed forgery detection method was evaluated on dataset named MICC-F220, F600 [32]
Summary
The trustworthiness of images is a vital role in many scopes, including court image forensics, medical imaging, criminal investigations, news media, etc. With a rapid development in digital cameras, accompanied by sophisticated image editing tools such as Photoshop, has allowed the content of the image to be changed and without leaving any perceptible signs of forgery. The malicious forged images may carry false information, published over the network and mislead the public. Some criminals create fake evidence of tampering with images, which has a certain impact on social stability. This brings a new challenge toward implementing digital image forensic methods to answer the question: If a digital image has been retouched, what regions have been forged in the image?
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