Author: CORNELIUS D. CHON
Date: April 23, 2026
Category: Data Security & Steganography
Abstract—this study proposes a novel lossless data embedding technique for medical images using a difference expansion using a difference expansion approach to enhance secure data transmission. The method focuses on embedding confidential information within radiological images while maintaining high image quality and ensuring full reversibility. Unlike existing techniques that struggle to balance payload capacity and imperceptibility, the proposed algorithm optimizes pixel value differences, particularly along image rows, to increase embedding efficiency with minimal distortion. The approach selectively modifies pixels under controlled conditions and records embedding locations using a key, enabling accurate data extraction and complete recovery of the original image. Experimental results on various medical images demonstrate that the method achieves high peak signal-to-noise ratio (PSNR) values even with increased pay loads, confirming its effectiveness in preserving image quality. This technique offers a reliable solution for secure medical data handline and can be applied in sensitive fields requiring both data confidentiality and image integrity.