technology, medical imaging research has made great
progress.+is method has low computational complexity, but low
embedding capacity and large image distortion.Usually, problems such as illegal copying, content tampering,
and copyright loss are encountered, which greatly
hinders the diagnosis of medical images.At present, reversible data
hiding technology mainly includes lossless compression,
difference expansion (DE), and histogram shifting (HS).Celik et al. [8] proposed a reversible data hiding scheme
based on compression, embedding secret data into the redundant
space generated by lossless image compression.Reversible data hiding (RDH) embeds secret
information into the carrier data and can completely extract
the secret information and lossless recover the carrier data.+erefore, researchers
have invested more efforts in medical image security
research, in which information hiding and image
encryption [1-3] are two key research directions.Usually, the carrier after
extracting the secret information inevitably exhibits a certain
degree of distortion.