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When it comes to detecting image manipulation, the more tools you have at your disposal, the better. In a recent issue of Science and Engineering Ethics, Lars Koppers at TU Dortmund University in Germany and his colleagues present a new way to scan images. Specifically, they created an open-source software that compares pixels within or between images, looking for similarities, which can signify portions of an image has been duplicated or deleted. Koppers spoke with us about the program described in “Towards a Systematic Screening Tool for Quality Assurance and Semiautomatic Fraud Detection for Images in the Life Sciences,” and how it can be used by others to sleuth out fraud.
Retraction Watch: Can you briefly describe how your screening system works?
Continue reading Sleuthing out scientific fraud, pixel by pixel