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Typically, metadata of images are stored in a specific data segment of theimage file. However, to securely detect changes, data can also be embeddedwithin images. This follows the goal to invisibly and robustly embed as muchinformation as possible to, ideally, even survive compression.  This work searches for embedding principles which allow to distinguishbetween unintended changes by lossy image compression and maliciousmanipulation of the embedded message based on the change of its perceptual orrobust hash. Different embedding and compression algorithms are compared.  The study shows that embedding a message via integer wavelet transform andcompression with Karhunen-Loeve-transform yields the best results. However, itwas not possible to distinguish between manipulation and compression in allcases.

A study on the use of perceptual hashing to detect manipulation of embedded messages in images