Abstract
In this paper, a novel reversible data hiding method for encrypted images (RDHEI) is proposed. An efficient coding scheme based on cyclic binary Golay (23, 12) code is designed to embed additional data into the least significant bits (LSBs) of the encrypted image. The most significant bits (MSBs) are used to ensure the reversibility of the embedding process. The proposed scheme is lossless, and based on the receiver’s privileges, allows recovery of marked data, original data and embedded data. Furthermore, the scheme can be used with any type of data, however it is best suited to 16-bit DICOM images of monochrome photometric interpretation. A modification to the standard DICOM network model was also introduced, to point out an example application of the proposed RDHEI method, i.e. an anonymized data storage outsourcing. A computer-based analysis has been carried out and simulation results are shown at the end of this paper.
Highlights
The Digital Image and Communication On Medicine (DICOM) standard was developed in order to facilitate safe and reliable transmissions and communications of medical imaging information
PROPOSED SCHEME Based on the properties of the Golay coding we introduce a novel, error-free reversible data hiding method for encrypted images (RDHEI)-reserving room before encryption (RRBE) method, which allows additional data to be embedded in encrypted DICOM images
Tests were performed on different types of DICOM files such as: Computed Tomography (CT), Magnetic Resonance (MR), Computed Radiography (CR), X-Ray Angiography and X-Ray Radiofluoroscopy, acquired from [43], [44]
Summary
The Digital Image and Communication On Medicine (DICOM) standard was developed in order to facilitate safe and reliable transmissions and communications of medical imaging information. Implementation of the encryption mechanisms introduces a problem with key distribution when sharing encrypted medical data with (not necessarily trusted) third parties outside the DICOM network. Reversible data hiding techniques for encrypted data allow additional data to be embedded reversibly without decryption. Such an approach allows for categorization of the data recipients, and enables cloud-based data outsourcing for data management, authentication or other purposes where data embedding is performed on encrypted data. We present a novel RDHEI method for DICOM images. The concept of introducing data coding to enable data embedding for encrypted images, presented in [2], inspired us to research and implement our own scheme
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