Reversible data hiding with automatic contrast enhancement for medical images

Gao, Guangyong; Tong, Shikun; Xia, Zhihua; Wu, Bin; Xu, Lu; Zhao, Zhiqiang

doi:10.1016/j.sigpro.2020.107817

Cited by 72 publications

(53 citation statements)

References 31 publications

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“…Both of these methods can extract secret data without errors. In addition, they can reconstruct the cover medical image (but not the original medical image) in a lossless way, which was quite different from method [30] and our RDH method. Not only that, the visual quality of stego-medical-image provided by methods [28,29] was relatively lower than that of the proposed method.…”

Section: Performance Comparisonmentioning

confidence: 88%

“…In this section, we compare the results provided by the proposed RDH method, Parah et al's method [28], Geetha et al's method [29], and Gao et al's method [30] to demonstrate the excellent performance of our approach. First, a comparison in terms of PSNR between methods [28][29][30] and the proposed RDH method was conducted on the six medical images that are listed in Table 8. For the sake Journal of Healthcare Engineering of fairness, Table 8 gives the PSNR provided by the above four methods under the EC of 50,000 bits.…”

Section: Performance Comparisonmentioning

confidence: 99%

Section: Performance Comparisonmentioning

confidence: 99%

“…For this, we used the proposed RDH methods and methods [28,29] on the "Brain01" and "Xray" images used in Gao et al [30] to further evaluate their performances, and the results are presented in Figure 11. For the EC aspect, the proposed RDH method was slightly inferior compared to the other methods [28][29][30]. However, it was apparent that the proposed RDH scheme also achieved a considerable PSNR value, which was better than those of the other three methods [28][29][30] in most cases.…”

Section: Performance Comparisonmentioning

confidence: 99%

“…An automatic histogram stretching technique was designed to vacate a more EC (bits) embeddable room. In other words, the method in [30] obtains more EC at the expense of an apparent decrease in the visual quality of stego-medical-images. It is important to note that this method has the feature of reversibility if the replacement of the LSBs is not conducted for its NROI.…”

Section: Performance Comparisonmentioning

confidence: 99%

See 4 more Smart Citations

Privacy-Preserving Reversible Data Hiding for Medical Images Employing Local Rotation

Lin

Chang

2021

Journal of Healthcare Engineering

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As digitalization becomes more common, patients’ concerns about the leakage of private information, such as electronic medical record, are increasing, and those concerns motivated this case study of secure covert communication. Therefore, in this paper, a novel reversible data hiding method based on pixel rotation is proposed for medical images. Using pixel rotation, a state mapping model is constructed to represent the payload. More specifically, many intermediate states are derived from an image block, and each of them is used to form a one-to-one mapping relationship with a specific sequence of payload bits. In addition, to ensure the visual quality of stego-medical-images, the payload bits are only concealed in the regular blocks and the other blocks are unchanged. Moreover, the smoother regular image block will be priority to be used to embed the payload to enhance the visual quality of stego-medical-image. The experimental results showed that the stego-medical-images generated by the proposed reversible data hiding method have better visual quality with an average PSNR of 47.0307 dB, which is higher than that provided by some state-of-the-art methods.

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Section: Performance Comparisonmentioning

confidence: 88%