S-transform-based efficient copy-move forgery detection technique in digital images

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Detection of Copy-Move Forgery in Digital Images Using Scale Invariant Feature Transform Algorithm and the Spearman Relationship

Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights. Copy-move forgery is the most common type of manipulation of digital images. Copy-move forgery is used to hide an area of the image or to repeat a por...

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Efficient Copy-Move Forgery Detection for Digital Images

Due to availability of powerful image processing software and improvement of human computer knowledge, it becomes easy to tamper images. Manipulation of digital images in different fields like court of law and medical imaging create a serious problem nowadays. Copy-move forgery is one of the most common types of forgery which copies some part of the image and pastes it to another part of the sa...

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Copy-Move Forgery Detection in Digital Images: Progress and Challenges

With the advancement of technology and easy availability of imaging tools, it’s not difficult now a days to manipulate digital images to hide or create misleading images. Image forgery detection is currently one of the hot research fields of image processing. Many research papers have been published during recent years. Image forgery has already been categorized. Copy-Move forgery is one of the...

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Copy- Move Forgery Detection Using Passive Technique

An extensive growth in digital technology has resulted in tampering of image. Image plays an important role in today’s digital world. Powerful image editing tools has made it difficult to determine whether the image is authentic or forged. The main objective of this paper is to detect the forgery in which a part of the image is copied and pasted on to same image without the information of the o...

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ژورنال

عنوان ژورنال: International Journal of Intelligent Enterprise

سال: 2020

ISSN: 1745-3232,1745-3240

DOI: 10.1504/ijie.2020.10026347