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Computed Tomography01:10

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Anti-loss-compression image encryption based on computational ghost imaging using discrete cosine transform and

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    Computational ghost imaging (CGI) encryption is improved for practical communication. This new method enhances encrypted image data to resist lossy compression and reduce transmission size.

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    Area of Science:

    • Optics and photonics
    • Information security
    • Computational imaging

    Background:

    • Computational ghost imaging (CGI) offers unique image encryption capabilities.
    • Current CGI methods face challenges in practical communication due to long imaging times and data transmission issues, including vulnerability to lossy compression.
    • Efficient data transmission and compression resistance are crucial for widespread CGI adoption.

    Purpose of the Study:

    • To develop a novel method for enhancing the robustness of CGI-encrypted images against lossy compression.
    • To improve the practical applicability of CGI in communication systems by addressing data transmission limitations.
    • To investigate the performance of the proposed encryption method under various compression levels and undersampling conditions.

    Main Methods:

    • Utilizing discrete cosine transform to sparsify bucket signals in CGI.
    • Transforming bucket signals from the sensing matrix domain to the spatial domain.
    • Employing gradient descent to derive an orthogonal matrix as the encryption key based on CGI principles.

    Main Results:

    • The proposed method significantly enhances the resistance of CGI-encrypted images to traditional lossy compression techniques.
    • Simulations and experimental results confirm the method's effectiveness at different quality factors and undersampling rates.
    • The approach successfully reduces the amount of data transmitted while camouflaging the encrypted image information.

    Conclusions:

    • The developed encryption method provides a practical solution for transmitting CGI bucket signals, especially when using lossy compression formats.
    • This technique improves data security and transmission efficiency for computational ghost imaging applications.
    • The findings pave the way for more secure and efficient image encryption using CGI in real-world communication scenarios.