Perceptual image quality correlates ineffectively with the traditional error measures. By defining the factors behind perceived image quality, many image processing systems can be optimized. Thus, a great deal of effort has been made for solving this challenging issue. However, considerably less research has been focused on the role of spatial resolution and number of gray levels in subjective image quality. In our study, the relation between these two fundamental image parameters is experimentally defined in terms of perceptual quality. The study was carried out by organizing an experiment where 80 subjects were used. Using the collected data set, the results are illustrated in the form of isopreference curves. Finally, our results are compared with the corresponding ones presented previously. Although the comparison reveals a clear correlation between the results, novel information about the relation between spatial resolution and the number of gray levels is presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Exploring subjective image quality through isopreference curves


    Contributors:


    Publication date :

    2005-01-01


    Size :

    159820 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Exploring subjective image quality through isopreference curves

    Lehmussola, A. / Ruusuvuori, P. / Yli-Harja, O. | British Library Conference Proceedings | 2005


    Subjective Image Quality Assessment—Theory and Practice

    Phillips, Jonathan B / Eliasson, Henrik | Wiley | 2018



    A comparison of two subjective-image quality assessment methods

    Kuperman, G.G. / Gliatti, E.L. | Tema Archive | 1981


    New subjective evaluation on optical image quality [3101-19]

    Li, J. / Li, X. / Ying, A. et al. | British Library Conference Proceedings | 1997