articleIEEE Transactions on Image ProcessingNov 11, 2015GREEN OA

Massive Online Crowdsourced Study of Subjective and Objective Picture Quality

DGDeepti GhadiyaramACAlan C. Bovik

The University of Texas at Austin

PubMed
Indexed inarxivcrossrefpubmed

Abstract

Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mixtures of multiple distortions, which are not necessarily well-modeled by the synthetic distortions found in existing databases. The originators of existing legacy databases usually conducted human psychometric studies to obtain statistically meaningful sets of human opinion scores on images in a stringently controlled visual environment, resulting in small data collections relative to other kinds of image analysis databases. Toward…

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Authors

2
  • DG
    Deepti GhadiyaramCorresponding

    The University of Texas at Austin

  • AC
    Alan C. Bovik

    The University of Texas at Austin

Topics & keywords

Keywords
  • Crowdsourcing
  • Consistency (knowledge bases)
  • Quality (philosophy)
  • Variety (cybernetics)
  • Image quality
  • Image (mathematics)
  • Visualization
  • Perception
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