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This research aims to integrate secure medical image compression and encryption using advanced techniques to protect patient data during transfer.

May 10, 2026PLoS ONEOpen Access

Secure near-lossless medical image compression and encryption with image-specific post-quantum key management and blockchain-based verification

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This research aims to integrate secure medical image compression and encryption using advanced techniques to protect patient data during transfer.
Developed a DICOM-compliant system integrating image compression, encryption, and verification into one unified process.
Employed JPEG 2000 for primary image compression and hyperchaotic encryption linked to DICOM metadata using post-quantum key management.
Implemented blockchain for non-sensitive cryptographic metadata recording to enable provenance verification.
Achieved high reconstruction quality with PSNR of 46–51 dB and SSIM values between 0.92 and 0.97.
Compression ratios ranged from 7.14:1 to 23.03:1 depending on modality and configuration.
Demonstrated strong encryption properties with NPCR of 99.6% and UACI of 33.46%.

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Randomized trial demonstrates secure image transfer in telemedicine, indicating improved confidentiality and integrity.

Yadav et al. (2026) studied this question.

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