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Imperceptible reversible watermarking of radiographic images based on quantum noise masking.
Comput Methods Programs Biomed. 2018 Jul; 160:119-128.CM

Abstract

BACKGROUND AND OBJECTIVE

Advances in information and communication technologies boost the sharing and remote access to medical images. Along with this evolution, needs in terms of data security are also increased. Watermarking can contribute to better protect images by dissimulating into their pixels some security attributes (e.g., digital signature, user identifier). But, to take full advantage of this technology in healthcare, one key problem to address is to ensure that the image distortion induced by the watermarking process does not endanger the image diagnosis value. To overcome this issue, reversible watermarking is one solution. It allows watermark removal with the exact recovery of the image. Unfortunately, reversibility does not mean that imperceptibility constraints are relaxed. Indeed, once the watermark removed, the image is unprotected. It is thus important to ensure the invisibility of reversible watermark in order to ensure a permanent image protection.

METHODS

We propose a new fragile reversible watermarking scheme for digital radiographic images, the main originality of which stands in masking a reversible watermark into the image quantum noise (the dominant noise in radiographic images). More clearly, in order to ensure the watermark imperceptibility, our scheme differentiates the image black background, where message embedding is conducted into pixel gray values with the well-known histogram shifting (HS) modulation, from the anatomical object, where HS is applied to wavelet detail coefficients, masking the watermark with the image quantum noise. In order to maintain the watermark embedder and reader synchronized in terms of image partitioning and insertion domain, our scheme makes use of different classification processes that are invariant to message embedding.

RESULTS

We provide the theoretical performance limits of our scheme into the image quantum noise in terms of image distortion and message size (i.e. capacity). Experiments conducted on more than 800 12 bits radiographic images of different anatomical structures show that our scheme induces a very low image distortion (PSNR∼ 76.5 dB) for a relatively important capacity (capacity∼ 0.02 bits of message per pixel).

CONCLUSIONS

The proposed watermarking scheme, while being reversible, preserves the diagnosis value of radiographic images by masking the watermark into the quantum noise. As theoretically and experimentally established our scheme offers a good capacity/image quality compromise that can support different watermarking based security services such as integrity and authenticity control. The watermark can be kept into the image during the interpretation of the image, offering thus a continuous protection. Such a masking strategy can be seen as the first psychovisual model for radiographic images. The reversibility allows the watermark update when necessary.

Authors+Show Affiliations

Institut Mines-Telecom; IMT Atlantique; Unite INSERM 1101 Latim, Technopole Brest-Iroise, CS 83818, 29238, Brest Cedex 3, France. Electronic address: wei.pan@imt-atlantique.fr.Institut Mines-Telecom; IMT Atlantique; Unite INSERM 1101 Latim, Technopole Brest-Iroise, CS 83818, 29238, Brest Cedex 3, France.Institut Mines-Telecom; IMT Atlantique; Unite INSERM 1101 Latim, Technopole Brest-Iroise, CS 83818, 29238, Brest Cedex 3, France.MEDECOM, Plougastel Daoulas, 29470, France.Institut Mines-Telecom; IMT Atlantique; Unite INSERM 1101 Latim, Technopole Brest-Iroise, CS 83818, 29238, Brest Cedex 3, France; Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China. Electronic address: gouenou.coatrieux@telecom-bretagne.eu.

Pub Type(s)

Evaluation Study
Journal Article

Language

eng

PubMed ID

29728239

Citation

Pan, Wei, et al. "Imperceptible Reversible Watermarking of Radiographic Images Based On Quantum Noise Masking." Computer Methods and Programs in Biomedicine, vol. 160, 2018, pp. 119-128.
Pan W, Bouslimi D, Karasad M, et al. Imperceptible reversible watermarking of radiographic images based on quantum noise masking. Comput Methods Programs Biomed. 2018;160:119-128.
Pan, W., Bouslimi, D., Karasad, M., Cozic, M., & Coatrieux, G. (2018). Imperceptible reversible watermarking of radiographic images based on quantum noise masking. Computer Methods and Programs in Biomedicine, 160, 119-128. https://doi.org/10.1016/j.cmpb.2018.03.011
Pan W, et al. Imperceptible Reversible Watermarking of Radiographic Images Based On Quantum Noise Masking. Comput Methods Programs Biomed. 2018;160:119-128. PubMed PMID: 29728239.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Imperceptible reversible watermarking of radiographic images based on quantum noise masking. AU - Pan,Wei, AU - Bouslimi,Dalel, AU - Karasad,Mohamed, AU - Cozic,Michel, AU - Coatrieux,Gouenou, Y1 - 2018/03/21/ PY - 2017/02/13/received PY - 2018/01/28/revised PY - 2018/03/09/accepted PY - 2018/5/6/entrez PY - 2018/5/8/pubmed PY - 2018/10/10/medline KW - Psychovisual masking KW - Quantum noise KW - Radiography KW - Reversible watermarking SP - 119 EP - 128 JF - Computer methods and programs in biomedicine JO - Comput Methods Programs Biomed VL - 160 N2 - BACKGROUND AND OBJECTIVE: Advances in information and communication technologies boost the sharing and remote access to medical images. Along with this evolution, needs in terms of data security are also increased. Watermarking can contribute to better protect images by dissimulating into their pixels some security attributes (e.g., digital signature, user identifier). But, to take full advantage of this technology in healthcare, one key problem to address is to ensure that the image distortion induced by the watermarking process does not endanger the image diagnosis value. To overcome this issue, reversible watermarking is one solution. It allows watermark removal with the exact recovery of the image. Unfortunately, reversibility does not mean that imperceptibility constraints are relaxed. Indeed, once the watermark removed, the image is unprotected. It is thus important to ensure the invisibility of reversible watermark in order to ensure a permanent image protection. METHODS: We propose a new fragile reversible watermarking scheme for digital radiographic images, the main originality of which stands in masking a reversible watermark into the image quantum noise (the dominant noise in radiographic images). More clearly, in order to ensure the watermark imperceptibility, our scheme differentiates the image black background, where message embedding is conducted into pixel gray values with the well-known histogram shifting (HS) modulation, from the anatomical object, where HS is applied to wavelet detail coefficients, masking the watermark with the image quantum noise. In order to maintain the watermark embedder and reader synchronized in terms of image partitioning and insertion domain, our scheme makes use of different classification processes that are invariant to message embedding. RESULTS: We provide the theoretical performance limits of our scheme into the image quantum noise in terms of image distortion and message size (i.e. capacity). Experiments conducted on more than 800 12 bits radiographic images of different anatomical structures show that our scheme induces a very low image distortion (PSNR∼ 76.5 dB) for a relatively important capacity (capacity∼ 0.02 bits of message per pixel). CONCLUSIONS: The proposed watermarking scheme, while being reversible, preserves the diagnosis value of radiographic images by masking the watermark into the quantum noise. As theoretically and experimentally established our scheme offers a good capacity/image quality compromise that can support different watermarking based security services such as integrity and authenticity control. The watermark can be kept into the image during the interpretation of the image, offering thus a continuous protection. Such a masking strategy can be seen as the first psychovisual model for radiographic images. The reversibility allows the watermark update when necessary. SN - 1872-7565 UR - https://www.unboundmedicine.com/medline/citation/29728239/Imperceptible_reversible_watermarking_of_radiographic_images_based_on_quantum_noise_masking_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0169-2607(17)30154-2 DB - PRIME DP - Unbound Medicine ER -