Difference Expansion Based Robust Reversible Watermarking with Region Filtering

Choi, Ka-Cheng; Pun, Chi‐Man

doi:10.1109/cgiv.2016.61

Cited by 3 publications

(2 citation statements)

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“…It is completely reversible. Choi et al [36] apply a bit plane manipulation to hide information on bit-planes that are less affected by attacks, and use region filtering to select the block with a lower variance to embed watermarks. This approach improves the algorithm's robustness.…”

Section: Introductionmentioning

confidence: 99%

“…For example, in [37] the PSNR is less than 45 dB after embedding 20,000 bits of watermark information. In other algorithms, the embedding capacity is sacrificed to reduce the image distortion [35,36]. (4) At present, most of the reversible medical image watermarking schemes are performed on grayscale images [42,43], and there is little research on color medical images.…”

Section: Introductionmentioning

confidence: 99%

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A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

Zhou

Zhang

et al. 2021

Electronics

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The authenticity and integrity of medical images in telemedicine has to be protected. Robust reversible watermarking (RRW) algorithms provide copyright protection and the original images can be recovered at the receiver’s end. However, the existing algorithms have limitations in their ability to balance the tradeoff among robustness, imperceptibility, and embedded capacity. Some of them are even not completely reversible. Besides, most medical image watermarking algorithms are not designed for color images. To improve their performance in protecting medical color image information, we propose a novel RRW scheme based on the discrete wavelet transform (DWT). First, the DWT provides a robust solution. Second, the modification of the wavelet domain coefficient guarantees the changes of integer values in the spatial domain and ensures the reversibility of the watermarking scheme. Third, the embedding scheme makes full use of the characteristics of the original image and watermarking. This reduces the modification of the original image and ensures better imperceptibility. Lastly, the selection of the Zernike moments order for geometric correction is optimized to predict attack parameters more accurately by using less information. This enhances the robustness of the proposed scheme against geometric attacks such as rotation and scaling. The proposed scheme is robust against common and geometric attacks and has a high embedding capacity without obvious distortion of the image. The paper contributes towards improving the security of medical images in remote healthcare.

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Section: Introductionmentioning

confidence: 99%