articleJournal of Electronic ImagingJan 1, 2010Closed access

Most apparent distortion: full-reference image quality assessment and the role of strategy

Oklahoma State University Oklahoma City

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Abstract

The mainstream approach to image quality assessment has centered around accurately modeling the single most relevant strategy employed by the human visual system (HVS) when judging image quality (e.g., detecting visible differences, and extracting image structure/information). In this work, we suggest that a single strategy may not be sufficient; rather, we advocate that the HVS uses multiple strategies to determine image quality. For images containing near-threshold distortions, the image is most apparent, and thus the HVS attempts to look past the image and look for the distortions (a detection-based strategy). For images containing clearly visible distortions, the distortions are most apparent, and thus the…

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Authors

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Topics & keywords

Keywords
  • Artificial intelligence
  • Distortion (music)
  • Image quality
  • Computer vision
  • Luminance
  • Human visual system model
  • Computer science
  • Masking (illustration)
UN Sustainable Development Goals
  • Reduced inequalities
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