Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform
This article discusses a new method for the detection of forgery images generated by copy-move technique. Copy-move technique is one of image forgery techniques which taking a particular object from its original image and add it on that image for the purpose of increasing the number of or changing t...
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| Format: | Article |
| Language: | English |
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Universitas Andalas
2016-07-01
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| Series: | Jurnal Nasional Teknik Elektro |
| Subjects: | |
| Online Access: | http://jnte.ft.unand.ac.id/index.php/jnte/article/view/230 |
| _version_ | 1818652830478630912 |
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| author | Zulfan Fitri Arnia Rusdha Muharar |
| author_facet | Zulfan Fitri Arnia Rusdha Muharar |
| author_sort | Zulfan |
| collection | DOAJ |
| description | This article discusses a new method for the detection of forgery images generated by copy-move technique. Copy-move technique is one of image forgery techniques which taking a particular object from its original image and add it on that image for the purpose of increasing the number of or changing the same object in the original image. This study aims to detect the forged image generated by the copy-move techniques and copy-move forged image that has been modified by the rotation operation and histogram equalization. Detection feature used is Ordinal Measure of Discrete Cosine Transform coefficient (OM-DCT). Detection starts with division of the image into a block size of BXB (B = 16x16, 32x32 and 64x64) and two-dimensional DCT was performed to each of blocks. The feature distance from the original to the fake image, was calculated by the Euclidian distance and each feature has a distance of less than or equal to the threshold value (T) according to the observations will be marked as a forged part. The results show that there are blocks detected on the copy-move image, whether on the unmodified copy-move forge image or those which modified by the rotation operation and histogram equalization. The number of blocks that are found in the copy-move object varies according to the size of the detection block used. |
| first_indexed | 2024-12-17T02:28:14Z |
| format | Article |
| id | doaj.art-49c95599c936484d85df0143b676ef92 |
| institution | Directory Open Access Journal |
| issn | 2302-2949 2407-7267 |
| language | English |
| last_indexed | 2024-12-17T02:28:14Z |
| publishDate | 2016-07-01 |
| publisher | Universitas Andalas |
| record_format | Article |
| series | Jurnal Nasional Teknik Elektro |
| spelling | doaj.art-49c95599c936484d85df0143b676ef922022-12-21T22:07:02ZengUniversitas AndalasJurnal Nasional Teknik Elektro2302-29492407-72672016-07-015216517410.20449/jnte.v5i2.230Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine TransformZulfan0Fitri Arnia1Rusdha Muharar2Jurusan Teknik Elektro, Fakultas Teknik, Universitas Syiah KualaJurusan Teknik Elektro, Fakultas Teknik, Universitas Syiah KualaJurusan Teknik Elektro, Fakultas Teknik, Universitas Syiah KualaThis article discusses a new method for the detection of forgery images generated by copy-move technique. Copy-move technique is one of image forgery techniques which taking a particular object from its original image and add it on that image for the purpose of increasing the number of or changing the same object in the original image. This study aims to detect the forged image generated by the copy-move techniques and copy-move forged image that has been modified by the rotation operation and histogram equalization. Detection feature used is Ordinal Measure of Discrete Cosine Transform coefficient (OM-DCT). Detection starts with division of the image into a block size of BXB (B = 16x16, 32x32 and 64x64) and two-dimensional DCT was performed to each of blocks. The feature distance from the original to the fake image, was calculated by the Euclidian distance and each feature has a distance of less than or equal to the threshold value (T) according to the observations will be marked as a forged part. The results show that there are blocks detected on the copy-move image, whether on the unmodified copy-move forge image or those which modified by the rotation operation and histogram equalization. The number of blocks that are found in the copy-move object varies according to the size of the detection block used.http://jnte.ft.unand.ac.id/index.php/jnte/article/view/230Discrete Cosine Transform (DCT)ordinal measure of DCT Coefficientcopy-moverotationhistogram equalization |
| spellingShingle | Zulfan Fitri Arnia Rusdha Muharar Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform Jurnal Nasional Teknik Elektro Discrete Cosine Transform (DCT) ordinal measure of DCT Coefficient copy-move rotation histogram equalization |
| title | Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform |
| title_full | Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform |
| title_fullStr | Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform |
| title_full_unstemmed | Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform |
| title_short | Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform |
| title_sort | deteksi pemalsuan citra dengan teknik copy move menggunakan metode ordinal measure dari koefisien discrete cosine transform |
| topic | Discrete Cosine Transform (DCT) ordinal measure of DCT Coefficient copy-move rotation histogram equalization |
| url | http://jnte.ft.unand.ac.id/index.php/jnte/article/view/230 |
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