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Journals / Bilgisayar Bilimleri / 2021 / Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special Özel Sayı

Central Symmetric Local Binary Pattern Based Image Forgery Detection

Merkezi Simetrik Yerel İkili Örüntü Temelli Görüntü Sahteciliği Tespiti

Bilgehan Gürünlü(Kahramanmaras Sutcu Imam Universitesi)0000-0001-9185-1908
Serkan Öztürk(ERCİYES ÜNİVERSİTESİ)0000-0002-0309-3420
Pages
288–294
Publication Date
2021-10-20
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, the Central Symmetric Local Binary Pattern algorithm, which is a successful texture extraction algorithm, to the best of our knowledge, that has not been used in this field before, has been tested on a current image dataset.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:With the progress in multimedia editing tools, fraud operations, especially on images, have begun to be encountered frequently.
📊
Key Findings & Data:For this purpose, in recent years, many new algorithms are needed in computer science under image forgery detection.
💡
Conclusion & Impact:In this study, the Central Symmetric Local Binary Pattern algorithm, which is a successful texture extraction algorithm, to the best of our knowledge, that has not been used in this field before, has been tested on a current image dataset.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Görüntü işleme · bilgi güvenliği · kopyala taşı sahteciliği

Abstract

With the progress in multimedia editing tools, fraud operations, especially on images, have begun to be encountered frequently. For this purpose, in recent years, many new algorithms are needed in computer science under image forgery detection. In this study, the Central Symmetric Local Binary Pattern algorithm, which is a successful texture extraction algorithm, to the best of our knowledge, that has not been used in this field before, has been tested on a current image dataset.

Özet

Multimedya düzenleme araçlarındaki ilerleme ile birlikte günümüzde özellikle görüntüler üzerinde sahtecilik işlemleri sıklıkla karşılaşılmaya başlanmıştır. Buna yönelik olarak son yıllarda, bilgisayar bilimlerinde, görüntü sahteciliği altında birçok yeni algoritmaya ihtiyaç duyulmaktadır. Bu çalışmada daha önce bu alanda kullanılmamış, başarılı bir doku çıkarım algoritması olan, Merkezi Simetrik Yerel İkili Örüntü algoritması güncel bir görüntü veriseti üzerinde denenmiştir.

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Cite This Article

Gürünlü, B., Öztürk, S. (2021). Central Symmetric Local Binary Pattern Based Image Forgery Detection. Bilgisayar Bilimleri, Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special Özel Sayı, 288–294. https://doi.org/10.53070/bbd.990064

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  21. Chen B, Yu M, Su Q, Li L. Fractional quaternion cosine transform and its application in color image copy-move forgery detection. Multimedia Tools Application;78:8057–73, 2018
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