A survey of image encryption algorithms for biomedical images

Abstract

Biomedical imaging is a powerful tool for visualizing the body's internal organs and illnesses. Image protection is difficult in the field of biomedical imaging. Many studies have been conducted in the medical field to protect medical images. Encryption is the perfect solution for image privacy without data loss. Due to data size, redundancy, and performance limitations, traditional encryption methods cannot be directly applied to e-health medical data, especially when patient data is transferred through open channels. Thus, patients may experience a loss of confidentiality of the data content because images differ from text due to two different factors, such as loss of data and loss of privacy. Researchers have determined such protection risks and suggested several image encryption strategies for undesirable security difficulties. However, the study found that the currently offered approaches face application-specific security issues. Therefore, there is a growing demand to protect sensitive information in medical images. This paper presents a color and grayscale medical image encoding algorithm to preserve medical images. The compression and encoding performance of the proposed algorithm are analyzed and evaluated based on Mean Squared Error (MSE), Peak Signalto- Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM), statistics, diversity, and entropy analysis. Matrix Laboratory (MATLAB) results show that the proposed algorithm provides high-quality reconstructed images with a good level of security during transmission.