Xishun Zhu

Pixel shift-based reversible steganography for privacy-preserving medical images

Experimental results demonstrate the algorithm’s effectiveness in preserving privacy while enabling perfect image recovery: the container images achieve an average PSNR of 40.08 dB and MSSIM of 0.988 relative to the carriers, confirming near-perceptual-indistinguishability; the reconstructed secret images are recovered with a bit-level accuracy of 100%; and the algorithm maintains robustness under Gaussian noise, salt-and-pepper noise, and PCA compression