A reduced-reference perceptual quality metric for texture synthesis

Srenivas Varadarajan, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This paper presents a reduced-reference quality metric that quantifies the perceptual quality of the synthesized textures. The metric is based on the change in perceived regularity between the original and the synthesized textures. The perceived regularity is quantified through a modified texture regularity metric based on visual attention. It is shown through subjective testing that the proposed metric has a strong correlation with the Mean Opinion Score for the fidelity of synthesized textures and outperforms the state-of-the-art full-reference quality metrics.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages531-535
Number of pages5
ISBN (Electronic)9781479957514
DOIs
StatePublished - Jan 28 2014

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Keywords

  • Image Quality Assessment
  • Randomness
  • Texture Analysis
  • Visual Attention

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Varadarajan, S., & Karam, L. (2014). A reduced-reference perceptual quality metric for texture synthesis. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 531-535). [7025106] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025106