• DocumentCode
    166067
  • Title

    Competitive analysis of existing image quality assessment methods

  • Author

    Borse, Rushikesh ; Markad, Prerana

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    1440
  • Lastpage
    1444
  • Abstract
    Image quality assessment (IQA) has become indispensable part of image processing applications since times. Image quality assessment deals with the evaluation of image quality using different measures. The Goal of image quality assessment is to provide a metric that can estimate the perceived quality of an image instinctively. The assessment of IQA metric gives optimum result when human visual system is taken in to consideration. In this paper, we described the current standards of image quality measures. We also do competitive analysis of these metrics. It is important to analyze the performance of these metrics in a comparative setting and analyze the strengths and weaknesses of these methods. Comparison of available image quality metrics is critically important in deciding as to which metric is better for a particular application.
  • Keywords
    image processing; IQA methods; human visual system; image processing applications; image quality assessment methods; image quality metrics; Distortion measurement; Equations; Image color analysis; Image restoration; Indexes; Measurement uncertainty; Image quality assessment (IQA); human visual system (HVS); objective metrics; subjective metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968385
  • Filename
    6968385