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Communication Dans Un Congrès Année : 2011

Blind forensics in medical imaging based on Tchebichef image moments

Résumé

In this paper, we present a blind forensic approach for the detection of global image modifications like filtering, lossy compression, scaling and so on. It is based on a new set of image features we proposed, called Histogram statistics of Reorganized Block-based Tchebichef moments (HRBT) features, and which are used as input of a set of classifiers we learned to discriminate tampered images from original ones. In this article, we compare the performances of our features with others proposed schemes from the literature in application to different medical image modalities (MRI, X-Ray ...). Experimental results show that our HRBT features perform well and in some cases better than other features.
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Dates et versions

hal-00737203 , version 1 (19-12-2022)

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Hui Huang, Gouenou Coatrieux, Huazhong Shu, Limin Luo, Christian Roux. Blind forensics in medical imaging based on Tchebichef image moments. EMBS 2011: 33th IEEE Annual International Conference of the Engineering in Medicine and Biology Society, Aug 2011, Boston, États-Unis. pp.4473-4476, ⟨10.1109/IEMBS.2011.6091109⟩. ⟨hal-00737203⟩
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