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Visual quality assessment of watermarked medical images

Dowling, Jason A., Planitz, Birgit M., Maeder, Anthony J., Du, Jiang, Pham, Binh L., Boyd, Colin A., Chen, Shaokang, Bradley, Andrew P., & Crozier, Stuart (2007) Visual quality assessment of watermarked medical images. In Jiang, Yulei & Sahiner, Berkman (Eds.) Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment: SPIE (Vol. 6515): Progress in Biomedical Optics and Imaging, 21-22 February 2007, San Diego, CA, USA.

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Abstract

Increasing transmission of medical images across multiple user systems raises concerns for image security. Hiding watermark information in medical image data files is one solution for enhancing security and privacy protection of data. Medical image watermarking however is not a widely studied area, due partially to speculations on loss in viewer performance caused by degradation of image information. Such concerns are addressed if the amount of information lost due to watermarking can be kept at minimal levels and below visual perception thresholds. This paper describes experiments where three alternative visual quality metrics were used to assess the degradation caused by watermarking medical images. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) medical images were watermarked using different methods: Block based Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with various embedding strengths. The visual degradation of each watermarking parameter setting was assessed using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Measure (SSIM) and Steerable Visual Difference Predictor (SVDP) numerical metrics. The suitability of each of the three numerical metrics for medical image watermarking visual quality assessment is noted. In addition, subjective test results from human observers are used to suggest visual degradation thresholds.

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ID Code: 15530
Item Type: Conference Paper
DOI: 10.1117/12.707571
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DATA FORMAT (080400) > Data Format not elsewhere classified (080499)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2007 Society of Photo-Optical Instrumentation Engineers (SPIE)
Copyright Statement: This paper was published in Proceedings Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment: SPIE (Vol. 6515): Progress in Biomedical Optics and Imaging and is made available as an electronic reprint (preprint) with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Deposited On: 10 Nov 2008
Last Modified: 29 Feb 2012 23:36

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