A survey on tamper detection techniques for digital images

Recently, fake and fabricated images that have been manipulated for several purposes, including cosmetic some illegal spread on social media. And because this is not an easy matter, it has become necessary researchers in field to search investigate the types of images, verify their authenticity how manipulate them. Therefore, aim research serve as assistant researcher who wants enter field. In research, a survey forgery was presented with examples. The most important common methods detecting were also presented, previous studies contributed process fraud, both traditional detection deep learning-based detection, highlighted, while giving strengths weaknesses types. We note from difficult takes time detect changes made image cannot be detected by naked eye. urged go towards learning purpose features enjoys.