A Comparison Study on Copy-Cover Image Forgery Detection~!2010-01-09~!2010-04-05~!2010-05-14~!
نویسندگان
چکیده
منابع مشابه
A Comparison Study on Copy-Cover Image Forgery Detection
Due to rapid advances and availabilities of powerful image processing software, digital images are easy to manipulate and modify for ordinary people. This makes it more and more difficult for a viewer to check the authenticity of a given digital image. For digital photographs to be used as evidence in law issues or to be circulated in mass media, it is inevitably needed to identify whether an i...
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In this paper, we proposed fast exploration method of copy-move forgery image. We proposed a new simple search algorithm using a half block size for copy-moved forgery image detection. Our algorithm reduced computational complexity more than conventional algorithms. We didn’t use 8x8 pixel block exhaustive search method and frequency algorithm to reduce computational complexity in this paper.
متن کاملCopy-Move Image Forgery Detection Tool
Digital images are extensively used as communication medium. Forgeries in digital image have grown to be a severe concern, owing to easy and liberated accessibility of puissant image processing tools. The literature addresses the stated issue extensively and presents solutions to them. The proposed elucidations have some commonalities in their methodologies. Nearly all of them are at variance e...
متن کاملPerformance evaluation of block-based copy- move image forgery detection algorithms
Copy-move forgery is a particular type of distortion where a part or portions of one image is/are copied to other parts of the same image. This type of manipulation is done to hide a particular part of the image or to copy one or more objects into the same image. There are several methods for detecting copy-move forgery, including block-based and key point-based methods. In this paper, a method...
متن کاملCopy Move Image Forgery Detection Using SURF Feature Point Extraction
The talk about image forgery is very common in the digital image forensic area. But with advanced image editing tools exposure of tampered part from the original image is hard. Human cannot visually identify the fabricated region from the Image. So, it is imperative to advance a technique which can detect the forged image from the original one. Copy-move/paste image forgery is a frequent catego...
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ژورنال
عنوان ژورنال: The Open Artificial Intelligence Journal
سال: 2010
ISSN: 1874-0618
DOI: 10.2174/1874061801004010049