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Related Experiment Video

Updated: Mar 27, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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Content-based image retrieval in homomorphic encryption domain.

Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a secure content-based image retrieval (CBIR) system for cloud-based medical diagnosis. The method retrieves similar medical images from encrypted data without compromising patient confidentiality, maintaining high accuracy.

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    Last Updated: Mar 27, 2026

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    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

    Published on: February 8, 2014

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    Area of Science:

    • Medical Informatics
    • Computer Science
    • Cryptography

    Background:

    • Medical diagnosis often relies on large image datasets.
    • Cloud computing offers scalable storage and processing for medical data.
    • Data privacy and security are paramount in healthcare, especially with outsourced data.

    Purpose of the Study:

    • To develop a secure Content-Based Image Retrieval (CBIR) system for medical diagnosis aid.
    • To enable CBIR in externalized environments like cloud computing while ensuring data confidentiality.
    • To allow physicians to retrieve similar medical images from outsourced databases without exposing sensitive information.

    Main Methods:

    • Implementation of a CBIR method using homomorphic encrypted images.
    • Extraction of wavelet-based image features from encrypted data.
    • Comparison of encrypted image features for retrieval without decryption.
    • Focus on global image features to avoid extra client-server communication.

    Main Results:

    • The secure CBIR system successfully retrieves similar images from homomorphic encrypted data.
    • Image retrieval performance is comparable to non-encrypted image processing.
    • Data confidentiality is preserved throughout the retrieval process.
    • The system operates efficiently without additional communication overhead.

    Conclusions:

    • The proposed secure CBIR method enables confidential medical image retrieval in cloud environments.
    • Wavelet-based feature extraction from encrypted images is effective for diagnosis aid.
    • This approach enhances the security and privacy of medical data in outsourced systems.