Imperceptible reversible watermarking of radiographic images based on quantum noise masking

Pan, Wei; Bouslimi, Dalel; Karasad, Mohamed; Cozic, Michel; Coatrieux, Gouenou

doi:10.1016/j.cmpb.2018.03.011

Cited by 18 publications

(11 citation statements)

References 19 publications

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“…Fragile reversible watermarking scheme for digital radiographic images was suggested in (Pan et al, 2018). The originality is in that a fragile watermark is represented as an image quantum noise, the dominant noise in radiographic images.…”

Section: Related Workmentioning

confidence: 99%

Digital Watermarking of 3d Medical Visual Objects

Favorskaya¹,

Savchina²

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> At present, medical equipment provides often 3D models of scanning organs instead of ordinary 2D images. This concept is supported by Digital Imaging and COmmunications in Medicine (DICOM) standard available for telemedicine. This means that the confidential information under transmission ought to be protected by special techniques, particularly digital watermarking scheme instead of textual informative files represented, for example, on CD disks. We propose a multilevel protection, for which a fragile watermark is the first level of protection. The Region Of Interest (ROI) watermark and textual watermarks with information about patient and study (the last ones can be combines as a single textual watermark) form the second level of protection. Encryption of the ROI and textual watermarks using Arnold’s transform is the third level of protection. In the case of 3D models, we find the ROI in each of 2D sliced images, apply the digital wavelet transform or digital shearlet transform (depending on the volume of watermarks) for the ROI and textual watermarks embedding, and embed a fragile watermark using digital Hadamard transform. The main task is to find the relevant regions for embedding. To this and, we develop the original algorithm for selecting relevant regions. The obtained results confirm the robustness of our approach for rotation, scaling, translation, and JPEG attacks.</p>

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Section: Related Workmentioning

confidence: 99%

Digital Watermarking of 3d Medical Visual Objects

Favorskaya¹,

Savchina²

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Manikandan et al [40] selected the speeded up robust feature (SURF) points in the image to form local feature regions, constructed histograms using pixels in the feature regions, and embedded watermarks by modifying the histograms, but the embedding capacity of the algorithm was small. Pan et al [41] performed a wavelet transform on medical images, selected the coefficients inherent in the details to construct the difference histogram, and then chose specific image blocks to embed watermarks by modifying the histogram to improve the imperceptibility of the algorithm. Yu et al [42] constructed histograms using the multi-dimensional prediction-error expansion, and when embedding watermarks, the histograms were modified towards the minimum error to obtain higher image quality; however, the algorithm was rather complicated to implement.…”

Section: Reversible Watermarking Based On Histogram Shiftingmentioning

confidence: 99%

A Reversible Watermarking Scheme for Vector Maps Based on Multilevel Histogram Modification

2018

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To protect the security of vector maps, we propose a novel reversible watermarking scheme for vector maps based on a multilevel histogram modification. First, a difference histogram is constructed using the correlations of adjacent coordinates, and the histogram is divided into continuous regions and discontinuous regions by combining the characteristics of vector map data. Second, the histogram bins that require modification are determined in the continuous regions through the optimal peak value, and the peak values are chosen from the flanking discontinuous regions in both directions; the watermarks are embedded by adopting the multilevel histogram modification strategy. The watermark extraction process is the reverse of the embedding process, and after completing the watermark extraction, the carrier data can be recovered losslessly. The experimental results show that the proposed algorithm has good invisibility and is completely reversible. Compared with similar algorithms reported previously, it achieves higher watermark embedding capacity under the same embedding distortion with lower complexity, thereby having a higher application value.

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“…Evaluation of the scheme shows low invisibility between the original image and watermarked versions in terms of Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM) due to applying contrast enhancement to the watermarked images. Pan, et al [34] present a fragile reversible watermarking approach for digital radiographic images. This technique differentiates the background from anatomical details within the image.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, approach [16] needs additional information for extraction and the ROI can only be retrieved after extracting the watermark. Schemes [34,46] utilize Histogram Shifting (HS) to hide the data. The cover image is automatically segmented into ROI and RONI and the original image is retrieved without any lose.…”

Section: Comparison With Existing Approachesmentioning

confidence: 99%

ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images

Qasim

Aspin

Meziane

et al. 2018

Multimed Tools Appl

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Reversible and imperceptible watermarking is recognized as a robust approach to confirm the integrity and authenticity of medical images and to verify that alterations can be detected and tracked back. In this paper, a novel blind reversible watermarking approach is presented to detect intentional and unintentional changes within brain Magnetic Resonance (MR) images. The scheme segments images into two parts; the Region of Interest (ROI) and the Region of Non Interest (RONI). Watermark data is encoded into the ROI using reversible watermarking based on the Difference Expansion (DE) technique. Experimental results show that the proposed method, whilst fully reversible, can also realize a watermarked image with low degradation for reasonable and controllable embedding capacity. This is fulfilled by concealing the data into 'smooth' regions inside the ROI and through the elimination of the large location map required for extracting the watermark and retrieving the original image. Our scheme delivers highly imperceptible watermarked images, at 92.18-99.94 dB Peak Signal to Noise Ratio (PSNR) evaluated through implementing a clinical trial based on relative Visual Grading Analysis (relative VGA). This trial defines the level of modification that can be applied to medical images without perceptual distortion. This compares favorably to outcomes reported under current state-of-art techniques. Integrity and authenticity of medical images are also ensured through detecting subsequent changes enacted on the watermarked images. This enhanced security measure, therefore, enables the detection of image manipulations, by an imperceptible approach, that may establish increased trust in the digital medical workflow.

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Imperceptible reversible watermarking of radiographic images based on quantum noise masking

Cited by 18 publications

References 19 publications

Digital Watermarking of 3d Medical Visual Objects

Digital Watermarking of 3d Medical Visual Objects

A Reversible Watermarking Scheme for Vector Maps Based on Multilevel Histogram Modification

ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images

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