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.
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.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|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|
Repository Staff Only: item control page