RGB Görüntüler İçin Düşük Maliyetli Bir Görüntü Tahrif Tespiti Yöntemi Uygulaması

Year 2022, Volume: 12 Issue: 2, 105 - 118, 31.12.2022

Hüseyin Bilal Macit

https://doi.org/10.55024/buyasambid.1093220

Abstract

Gelişen teknoloji sayesinde internet üzerinde çok sayıda görüntü transfer edilebilmektedir. Bu görüntülerin büyük çoğunluğu sosyal medya platformlarına yükleniyor ve düşük düzeyde mahremiyete sahip. Dijital görüntülere erişimin kolay olması ve görüntünün kolayca tahrif edilebilmesi nedeniyle, manipüle edilmiş görüntüler çeşitli sahtecilik ve dolandırıcılık yöntemlerinde kullanılabilmektedir. Sayısal görüntünün orijinal mi yoksa tahrifli edilmiş mi olduğunu belirlemek için literatürde çeşitli algoritmalar önerilmiştir. Bu çalışmada, basit ve düşük işlem karmaşıklığına sahip bir hata tespit mekanizması olan çift eşlik biti yöntemi, 3 katmanlı renkli görüntülerin katman verilerine steganografik bir yaklaşımla uygulanmakta ve sayısal görüntülerde manipülasyonun tespit edilmesi amaçlanmaktadır.

Keywords

LSB, Görüntü Tahrifi, Eşlik Kodu

Implementation of a Low-Cost Tamper Detection Method for RGB Images

Abstract

Thanks to the developing technology, a large number of images are transferred on the internet. The vast majority of these images are uploaded to social media platforms and have a low level of privacy. Due to the ease of access to digital images and the fact that the image can be easily tampered with, manipulated images can be used in various forgery and fraud methods. Various algorithms have been proposed in the literature to determine whether the digital image is original or tampered. In this study, the even parity bit method, which is a very simple and low-complex error detection mechanism, is applied to the layer data of 3-layer color images with a steganographic approach and it is aimed to detect tampering in digital images.

Keywords

LSB, Image Tampering, Parity Code, Görüntü Tahrifi, Görüntü Tahrifi, Görüntü Tahrifi, Eşlik Kodu, Eşlik Kodu

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