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Volume: 34 | Article ID: MWSF-339
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Image montage detection based on image segmentation and robust hashing techniques
  DOI :  10.2352/EI.2022.34.4.MWSF-339  Published OnlineJanuary 2022
Abstract
Abstract

We provide a method for montage recognition allowing to re-identify background images and inserted objects. It can also be used as a highly robust method for image re-identification beyond montages. To achieve this, we combine three mechanisms: segmentation, orientation detection and robust hashing. We show that this approach provides detection rates similar to more complex algorithms based on feature matching but is significantly more efficient with respect to storage requirements and computational time. We provide test results for various attacks like rotation, scaling, cropping, addition of noise and brightness changes.

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Martin Steinebach, Tiberius Berwanger, Huajian Liu, "Image montage detection based on image segmentation and robust hashing techniquesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2022,  pp 339-1 - 339-6,  https://doi.org/10.2352/EI.2022.34.4.MWSF-339

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