لخّصلي

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.

technology, medical imaging research has made great
progress. Medical images have become an indispensable and
effective auxiliary means for modern medical diagnosis.
More and more hospitals and medical research institutions
have established their own medical care system. +e medical
care system is used for image archiving and information
transfer. However, the sharing and openness of the network
exposes the transmission of medical images to danger.
Usually, problems such as illegal copying, content tampering,
and copyright loss are encountered, which greatly
hinders the diagnosis of medical images. +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.
Information hiding technology embeds information that
needs to be protected into a carrier. Usually, the carrier after
extracting the secret information inevitably exhibits a certain
degree of distortion. However, special carriers such as
medical images have extremely high requirements for image
integrity, so reversible data hiding (RDH) technology is
introduced to protect highly sensitive images. Reversible
data hiding is an important branch in the field of information
hiding. Reversible data hiding (RDH) embeds secret
information into the carrier data and can completely extract
the secret information and lossless recover the carrier data.
In 1997, Barton [4] proposed the concept of reversible data
hiding. Later, a large number of reversible data hiding
schemes were proposed [5–7]. 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.
+is method has low computational complexity, but low
embedding capacity and large image distortion. In 2003,
Tian [9] proposed a reversible data hiding algorithm based
on difference expansion, which extended the difference of