An improved discrete cosine transformation block based scheme for copy-move image forgery detection

Copy-moved forgery is a common method to manipulate images. Several attempts of image forgery have been discovered and involves a region been duplicated and copied and pasted on another region of the same image in other to achieve selfish gain. Generally, there are two classification of copy-move fo...

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Main Authors: Oyiza, Abdulraheem Hassanat, Maarof, Mohd Aizaini
Format: Article
Language:English
Published: Penerbit UTM Press 2019
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Online Access:http://eprints.utm.my/id/eprint/85237/1/MohdAizainiMaarof2019_AnImprovedDiscreteCosineTransformation.pdf
http://eprints.utm.my/id/eprint/85237/
https://dx.doi.org/10.11113/ijic.v9n2.194
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spelling my.utm.852372020-03-17T08:10:50Z http://eprints.utm.my/id/eprint/85237/ An improved discrete cosine transformation block based scheme for copy-move image forgery detection Oyiza, Abdulraheem Hassanat Maarof, Mohd Aizaini QA75 Electronic computers. Computer science Copy-moved forgery is a common method to manipulate images. Several attempts of image forgery have been discovered and involves a region been duplicated and copied and pasted on another region of the same image in other to achieve selfish gain. Generally, there are two classification of copy-move forgery detection technique such as the block-based and key point-based. The block-based division is mostly used and divides image into blocks during the stage of image pre-processing before features are extracted, whereas key-point based technique skips the division of image into blocks and directly extracts different local feature from the image. In this paper, we review various block based and key point approach which has been proposed by various researchers. There is a problem of achieving a balance between improving the detection accuracy and having minimal computational complexity. The proposed technique is based on an improved DCT based copy-move image forgery detection (IDB-CFD), which involves using an octagonal block to reduce the number of features for matching, thereby improving detection accuracy while having minimal complexity. The analysis of this work as compared to previous proposed works which is based on a robust detection algorithm for copy-move image forgery (RDA-CF) and involves using circle block to reduce the number of features, results show that previous work represents about 79% of the quantized DCT coefficients on each image block and this proposed work represents about 85% of quantized DCT coefficients, therefore, recovery of about 6% more features using the IDB-CFD technique was observed as the improvement over the previously proposed RDA-CF. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/85237/1/MohdAizainiMaarof2019_AnImprovedDiscreteCosineTransformation.pdf Oyiza, Abdulraheem Hassanat and Maarof, Mohd Aizaini (2019) An improved discrete cosine transformation block based scheme for copy-move image forgery detection. International Journal of Innovative Computing, 9 (2). pp. 1-8. ISSN 2180-4370 https://dx.doi.org/10.11113/ijic.v9n2.194 DOI:10.11113/ijic.v9n2.194
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Oyiza, Abdulraheem Hassanat
Maarof, Mohd Aizaini
An improved discrete cosine transformation block based scheme for copy-move image forgery detection
description Copy-moved forgery is a common method to manipulate images. Several attempts of image forgery have been discovered and involves a region been duplicated and copied and pasted on another region of the same image in other to achieve selfish gain. Generally, there are two classification of copy-move forgery detection technique such as the block-based and key point-based. The block-based division is mostly used and divides image into blocks during the stage of image pre-processing before features are extracted, whereas key-point based technique skips the division of image into blocks and directly extracts different local feature from the image. In this paper, we review various block based and key point approach which has been proposed by various researchers. There is a problem of achieving a balance between improving the detection accuracy and having minimal computational complexity. The proposed technique is based on an improved DCT based copy-move image forgery detection (IDB-CFD), which involves using an octagonal block to reduce the number of features for matching, thereby improving detection accuracy while having minimal complexity. The analysis of this work as compared to previous proposed works which is based on a robust detection algorithm for copy-move image forgery (RDA-CF) and involves using circle block to reduce the number of features, results show that previous work represents about 79% of the quantized DCT coefficients on each image block and this proposed work represents about 85% of quantized DCT coefficients, therefore, recovery of about 6% more features using the IDB-CFD technique was observed as the improvement over the previously proposed RDA-CF.
format Article
author Oyiza, Abdulraheem Hassanat
Maarof, Mohd Aizaini
author_facet Oyiza, Abdulraheem Hassanat
Maarof, Mohd Aizaini
author_sort Oyiza, Abdulraheem Hassanat
title An improved discrete cosine transformation block based scheme for copy-move image forgery detection
title_short An improved discrete cosine transformation block based scheme for copy-move image forgery detection
title_full An improved discrete cosine transformation block based scheme for copy-move image forgery detection
title_fullStr An improved discrete cosine transformation block based scheme for copy-move image forgery detection
title_full_unstemmed An improved discrete cosine transformation block based scheme for copy-move image forgery detection
title_sort improved discrete cosine transformation block based scheme for copy-move image forgery detection
publisher Penerbit UTM Press
publishDate 2019
url http://eprints.utm.my/id/eprint/85237/1/MohdAizainiMaarof2019_AnImprovedDiscreteCosineTransformation.pdf
http://eprints.utm.my/id/eprint/85237/
https://dx.doi.org/10.11113/ijic.v9n2.194
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score 13.154949