• DocumentCode
    2955509
  • Title

    Perceptual Dissimilarity: A Measure to Quantify the Degradation of Medical Images

  • Author

    Saha, Simanto ; Tahtali, Murat ; Lambert, Andrew ; Pickering, Mark

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales Canberra, Canberra, ACT, Australia
  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a novel image quality metric that outperforms other existing and widely used metrics, namely the Root Mean Square Error (RMSE). While objective methods for assessing perceptual image quality to quantify the visibility of errors between a distorted image and a reference image have got utmost importance nowadays, none of the proposed metrics are completely satisfactory. Structural Similarity Index has been found promising in some cases, however for medical imaging (especially for CT and MRI images) it still remains immature. On that perspective, the Perceptual Dissimilarity (PD) measure proposed in this paper has been found satisfactory enough to work with medical imaging demands.
  • Keywords
    biomedical MRI; computerised tomography; mean square error methods; medical image processing; CT images; MRI images; RMSE; distorted image; image quality metric; medical image degradation quantification; medical imaging demands; perceptual dissimilarity measure; reference image; root mean square error; structural similarity index; Biomedical imaging; Degradation; Humans; Image quality; Image reconstruction; Indexes; Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing Techniques and Applications (DICTA), 2012 International Conference on
  • Conference_Location
    Fremantle, WA
  • Print_ISBN
    978-1-4673-2180-8
  • Electronic_ISBN
    978-1-4673-2179-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2012.6411728
  • Filename
    6411728