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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Optical multiple-image compression-encryption via single-pixel Radon transform.

Jingjing Wu, Siwei Li

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    Summary
    This summary is machine-generated.

    This study introduces a novel multiple-image encryption (MIE) method using single-pixel Radon transform (RT) and asymmetric cryptosystems. The proposed optical MIE scheme avoids data loss from compression, enhancing security and feasibility.

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    Area of Science:

    • Optics and Photonics
    • Information Security
    • Image Processing

    Background:

    • Multiple-image encryption (MIE) schemes commonly use compression, leading to data loss.
    • Existing MIE methods often suffer from inefficient data handling and potential security vulnerabilities.

    Purpose of the Study:

    • To propose a novel MIE scheme utilizing single-pixel Radon transform (RT).
    • To enhance security and eliminate data waste associated with compression in MIE.

    Main Methods:

    • Performing single-pixel RT on each image across 0° to 180°.
    • Combining Radon spectra and encrypting using phase-truncated Fourier transforms (PTFT).
    • Employing Arnold and logistic maps for scrambling and diffusion to bolster security.

    Main Results:

    • The proposed optical MIE scheme demonstrates no data waste from compression.
    • Simulation results confirm key sensitivity, multiplexing capacity, and robust security against attacks.
    • An optical experiment validates the practical feasibility of the developed MIE scheme.

    Conclusions:

    • The novel MIE scheme based on single-pixel RT offers a secure and efficient alternative to conventional methods.
    • The integration of PTFT and chaotic maps provides a high level of security.
    • The optical implementation proves the scheme's viability for real-world applications.