Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images

Qasim, Asaad F.; Aspin, Rob; Meziane, Farid; Hogg, Peter

doi:10.1016/j.image.2018.10.007

Cited by 5 publications

(3 citation statements)

References 58 publications

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“…This scheme focuses on improving the watermarking technology's resilience and invisibility to avoid medical conflicts. Based on a considerable variation in CAT (Cellular Automata Transform), the medical picture watermarking approach was developed for copyright protection [Qasim et al 2019]. To get two low-frequency bandwidths, the medical pictures are first subsampled into four sub-pictures, out of them two are selected at random.…”

Section: Related Workmentioning

confidence: 99%

Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

Kumar¹,

Singh²

2022

jucs

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Watermarking is a valuable technique for verifying medical images obtained through the internet for diagnosis. There is a greater need for security in medical pictures with ever- increasing security risks. This research presented a Finite Ridgelet Transform (FRT)-Hessenberg based watermarking scheme in medical images. The suggested paradigm is divided into two stages. Before watermark insertion, FRT is applied to medical images. The coefficients are combined into blocks of 4 x 4 and each block is decomposed using Hessenberg decomposition. The second column of the Q matrix is used to insert the watermark using the additive quantization technique. The results obtained from our experiment have given good visual quality of the watermarked images. The high PSNR value 53.6121 and NC value 1.0 show that our scheme is performing better. Moreover, the performance of our scheme is robust against several attacks. The consequences of this result imply that the anticipated scheme is effective for medical image watermarking.

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Section: Related Workmentioning

confidence: 99%

Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

Kumar¹,

Singh²

2022

jucs

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“…The exact original images can be retrieved after extracting the watermark successfully. The proposed method delivered highly imperceptible watermarked images evaluated through clinical assessment based on relative Visual Grading Analysis (VGA) to define the amount of change that can be applied to medical images without noticeable distortion [12].…”

Section: Design and Evaluation Requiremnentsmentioning

confidence: 99%

Integration of Digital Watermarking Technique into Medical Imaging Systems

Qasim

Aspin

Meziane

2019

2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT)

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This paper presents the process of integrating digital watermarking technique into medical imaging workflow to evaluate, validate and verify its applicability and appropriateness to medical domains. This is significant to ensure the ability of the proposed approach to tackle security threats that may face medical images during routine medical practices. This work considers two key objectives within the aim of defining a secure and practical digital medical imaging system: current medical digital workflows are deeply analyzed to define security limitations in Picture Archiving and Communication Systems (PACS) of medical imaging; the proposed watermarking approach is then theoretically tested and validated in its ability to operate in a real-world scenario (e.g. PACS). These have been undertaken through identified case studies related to manipulations of medical images within PACS workflow during acquisition, viewing, exchanging and archiving. This work assures the achievement of the identified particular requirements of digital watermarking when applied to digital medical images and also provides robust controls within medical imaging pipelines to detect modifications that may be applied to medical images during viewing, storing and transmitting.

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“…Imperceptibility is a factor of human cognition that needs to be appraised within the human context. We have conducted a visual assessment trial for 117 MR images in DICOM format [40]. These medical images have been modified by hiding a different amount of data to generate a range of images with various distortion levels.…”

Section: Proposed System Performance Measurementmentioning

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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Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images

Cited by 5 publications

References 58 publications

Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

Integration of Digital Watermarking Technique into Medical Imaging Systems

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

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