Image dissimilarity

J.B. Martens, L.M.J. Meesters

    Research output: Contribution to journalArticleAcademicpeer-review

    87 Citations (Scopus)


    In this paper we compare the performance of a number of representative instrumental models for image dissimilarity with respect to their ability to predict both image dissimilarity and image quality, as perceived by human subjects. Two sets of experimental data, one for images degraded by noise and blur, and one for JPEG-coded images, are used in the comparison.
    Original languageEnglish
    Pages (from-to)155-176
    JournalSignal Processing
    Issue number3
    Publication statusPublished - 1998


    Dive into the research topics of 'Image dissimilarity'. Together they form a unique fingerprint.

    Cite this