Non-unit mapped radial moments platform for robust, geometric invariant image watermarking and reversible data hiding

Golabi, Sasan; Helfroush, Mohammad Sadegh; Danyali, Habibollah

doi:10.1016/j.ins.2018.02.073

Cited by 21 publications

(22 citation statements)

References 12 publications

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“…Then, we analyze the selection of Zernike's moment order and its performance of geometric correction. After that, the performance of the proposed method is tested and compared with the existing methods (Golabi et al [37], Tian et al [48], Priyanka and Maheshkar [49], and Thabit and Khoo [50]) in the following. Lastly, the time complexity of the proposed scheme is analyzed.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…Note that this scheme has good correction ability for small angle rotation. To compare the results with those reported in [37], the same rotation angle is used. The results of the experiment show that the Zernike moments have a strong detection ability for a rotation attack, especially for small-angle rotations: the error can be less than 0.005 degrees.…”

Section: Geometric Correction Of Zernike Moments 421 Rotating Attackmentioning

confidence: 99%

“…Figure 11 is a comparison of the BER with the Golabi et al scheme [37] when the watermark was extracted at various rotational angles. The scheme presented in [37] has poor stability, and when the rotation angle is less than 38° and greater than 45°, the error tends to increase gradually; while the proposed scheme has better stability for rotation attack, and the overall error rate is lower than the one presented in [37]. Figure 12 shows a comparison of BER under different scale parameters.…”

Section: Robust Schemementioning

confidence: 99%

“…To prevent the overflow, one can embed the wrong bit information first, and then use correcting code (ECC) to correct it. Golabi et al [37] developed non-unit mapped radial moments. Reversible interval phase modulation and diagonal rotation estimation are used to achieve robust geometrically invariant watermarking and reversible data hiding.…”

Section: Introductionmentioning

confidence: 99%

“…(3) Most algorithms have limitations in balancing the contradiction between watermark embedding capacity and invisibility. 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].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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: Experiments Resultsmentioning

confidence: 99%

Section: Geometric Correction Of Zernike Moments 421 Rotating Attackmentioning

confidence: 99%