These days we come across digital images around every corner of our day-to-day lives. Whether it is on social media or in the news. Almost every individual has access to image manipulation software, which makes it even more important to check the image's authenticity. Images are also used as evidence in forensic investigations. In this diploma thesis, we examined different approaches to image authentication. We not only studied the error level analysis method that was implemented in the GNU Octave programming language but we also evaluated which image manipulation techniques could be detected with it.
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