A Comparison of DCT and DWT Block Based Watermarking on Medical Image Quality

  • Authors:

  • Jason Dowling;Birgit M. Planitz;Anthony J. Maeder;Jiang Du;Binh Pham;Colin Boyd;Shaokang Chen;Andrew P. Bradley;Stuart Crozier

  • Affiliations:

  • e-Health Research Centre / CSIRO ICT Centre, Brisbane, Australia QLD 4001;e-Health Research Centre / CSIRO ICT Centre, Brisbane, Australia QLD 4001;e-Health Research Centre / CSIRO ICT Centre, Brisbane, Australia QLD 4001;Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia QLD 4001;Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia QLD 4001 and Affiliated with National ICT Australia,;School of Information Technology & Electrical Engineering, University of Queensland, Brisbane, Australia QLD 4072 and Affiliated with National ICT Australia,;School of Information Technology & Electrical Engineering, University of Queensland, Brisbane, Australia QLD 4072;School of Information Technology & Electrical Engineering, University of Queensland, Brisbane, Australia QLD 4072 and Affiliated with National ICT Australia,;School of Information Technology & Electrical Engineering, University of Queensland, Brisbane, Australia QLD 4072 and Affiliated with National ICT Australia,

  • Venue:
  • IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
  • Year:
  • 2008

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Abstract

Hiding watermark information in medical image data files is one method of enhancing security and protecting patient privacy. However the research area of medical image watermarking has not been particularly active, partly due to concerns that any distortion could affect the diagnostic value of the medical image. These concerns can be addressed by ensuring that any image changes are kept below visual perception thresholds. In this paper the effects of image watermarking and common image manipulations are measured using the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Measure (SSIM) and Steerable Visual Difference Predictor (SVDP) numerical metrics. Two methods of block based watermarking are compared: the Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). To ensure a fair comparison a 128-pixel block size is used which allows an identical amount of information to be embedded for each method (3072 bits multiplied by embedding strength). The results suggest that although the two methods are similar, the DCT method is preferable if localization of changes is required. If localization is not required the DWT method is supported.