Enhancing Laryngeal Spinocellular Carcinoma Image Security with DCT.

Abstract

This work proposes a novel secret sharing scheme to enhance the security of Laryngeal Spinocellular Carcinoma or Laryngeal Squamous Cell Carcinoma (LSCC) images using the Discrete Cosine Transformation (DCT) as a cryptographic tool. The DCT-based secret sharing method divides LSCC images into shares, each containing DCT coefficients that represent the image's frequency components. The original image can only be reconstructed when a predefined number of shares are combined, ensuring confidentiality and preventing unauthorized access. The proposed scheme demonstrates robustness against noise and data loss during transmission, preserving image quality and data integrity. The performance of the proposed scheme concerning the quality of the recovered image and the strength of security preservation is demonstrated through PSNR improvement analysis, correlation analysis, and histogram analysis. The efficiency of DCT-based secret sharing enables application in medical settings, facilitating accurate diagnosis and treatment planning for LSCC patients while safeguarding patient privacy.