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A comparative review and analysis of medical image encryption and compression techniques

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Abstract

Owing to the swift development of communication networks, there is a not able rise in the transfer of sensitive information, including military and medical records. The treatment of digital medical images, like Magnetic Resonance Images, Computed Tomography, and textual data in the medical domain needs a vast amount of hard disk space, and also a large transmission time. For the purpose of lowering healthcare costs, it is necessary to ensure the dependable, efficient, and secure transmission of databases between various healthcare centers and hospitals. Hence, many researchers have concentrated on the secure transmission of confidential medical data. As a result, numerous compression and encryption techniques are reviewed in the literature. Within this review, we explore some research papers that showcase diverse methodologies utilized in the encryption and compression of medical images. To assess the research papers, we have categorized them according to the encryption techniques utilized in prior studies. In addition, the research gaps and challenges recognized in the earlier topics are mentioned in this paper. Therefore, the researchers can bring a solution and improve their research in the future. In this review paper, the works studied have been analyzed depending on several aspects, such as categorization of techniques used for image encryption and compression, image modalities and analysis of performance metrices. This review outlines the future opportunities for improvement by analyzing the research challenges identified in the existing literature, providing guidance for researchers to enhance their work. After reviewing we have concluded that the optimization algorithm based deep learning can results in higher performance for encryption and compression of medical images than the other categories.

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Authors and Affiliations

  1. Department of Computer Science, S.T Hindu College, Nagercoil, Affliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, 627012, Tamil Nadu, India

    D. Jeni Jeba Seeli & K. K. Thanammal

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  1. D. Jeni Jeba Seeli
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  2. K. K. Thanammal
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Correspondence to D. Jeni Jeba Seeli.

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Seeli, D.J.J., Thanammal, K.K. A comparative review and analysis of medical image encryption and compression techniques. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18745-4

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