Hybrid transform based reversible watermarking technique for medical images in telemedicine applications

Selvam, Priya; Balachandran, Santhi; Iyer, Swaminathan Pitchai; Jayabal, Rajamohan

doi:10.1016/j.ijleo.2017.07.060

Cited by 64 publications

(36 citation statements)

References 31 publications

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“…This scheme needs a location map to retrieve the embedded data and original unmodified image. Selvam, et al [42] present a blind hybrid reversible watermarking approach, operating in transform domain, for increasing hiding capacity and protecting the medical image. Integer Wavelet Transform (IWT) and Discrete Gould transform (DGT) are used to encode the watermark within the medical image.…”

Section: Related Workmentioning

confidence: 99%

“…7). These metrics calculate the number of error bits and the number of correct bits between the original and extracted watermark [42]. The nine brain MR scans in DICOM format (16bpp, 512 × 512 pixels) selected from a publically available and standardized medical images dataset downloaded from TCIA website [12] and used to assess the performance of the proposed method Performance evaluation criteria Imperceptibility, reversibility, capacity, robustness 6…”

Section: Reversibilitymentioning

confidence: 99%

“…Capacity of the watermarking system is determined by calculating the number of image pixels required for embedding the data (Eq. 8) [42].…”

Section: Capacitymentioning

confidence: 99%

“…Additional data is required for the extraction process. Transform based watermarking methods are proposed [9,41,42], and can recover the complete original image after extracting the watermark. However, image distortion is high in comparison to low embedding capacity.…”

Section: Comparison With Existing Approachesmentioning

confidence: 99%

See 3 more Smart Citations

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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Section: Related Workmentioning

confidence: 99%

Section: Reversibilitymentioning

confidence: 99%

“…Capacity of the watermarking system is determined by calculating the number of image pixels required for embedding the data (Eq. 8) [42].…”

Section: Capacitymentioning

confidence: 99%

Section: Comparison With Existing Approachesmentioning

confidence: 99%

See 2 more Smart Citations

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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show abstract

“…The watermark is embedded in DCT coefficients. Priya et al [17] proposed medical image watermarking using two transforms.IWT decompose the image into different subband and gould transform recover the medical image without any loss. Lossless image recovery is achieved by using interpolation based data hiding technique [19].…”

Section: Introductionmentioning

confidence: 99%

Medical Image Watermarking Technique Using Image Interpolation in Transform Domain

Shanmugapriya¹,

Santhi²,

Mohan³

2018

IJET

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In telemedicine, medical data are shared across the world among different specialists for various purposes through an unsecured medium. So there is a need to protect the medical data during transmission. With the help of image watermarking techniques, medical images are protected along with the electronic patient information (EPI). This paper proposes a medical image watermarking, by applying wavelet transform, using an interpolation technique. EPI data is embedded within the transformed medical image to generate a watermarked image. At the extraction side, EPI data are extracted and medical image is reconstructed without any loss. The performance of the proposed method is analyzed using a peak signal to noise ratio (PSNR), mean absolute error (MAE) and structural similarity index (SSIM). The experimental result shows that the proposed method gives better results.

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Security of Biometric and Biomedical Images Using Sparse Domain Based Watermarking Technique

Thanki

Borra²,

Trivedi³

2019

Handbook of Multimedia Information Security: Techniques and Applications

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Hybrid transform based reversible watermarking technique for medical images in telemedicine applications

Cited by 64 publications

References 31 publications

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

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

Medical Image Watermarking Technique Using Image Interpolation in Transform Domain

Security of Biometric and Biomedical Images Using Sparse Domain Based Watermarking Technique

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