Influence of Texture Structure on the Perception of Color Composition

Jing Wang, Jana Zujovic, June Choi, Basabdutta Chakraborty, Rene van Egmond, Huib de Ridder, Thrasyvoulos N. Pappas*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The authors explore the influence of the structure of a texture image on the perception of its color composition through a series of psychophysical studies. They estimate the color composition of a texture by extracting its dominant colors and the associated percentages. They then synthesize new textures with the same color composition but different geometric structural patterns. They conduct empirical studies in the form of two-alternative forced choice tests to determine the influence of two structural factors, pattern scale and shape, on the perceived amount of target color. The results of their studies indicate that (a) participants are able to consistently assess differences in color composition for textures of similar shape and scale, and (b) the perception of color composition is nonveridical. Pattern scale and shape have a strong influence on perceived color composition: the larger the scale, the higher the perceived amount of the target color, and the more elongated the shape, the lower the perceived amount of the target color. The authors also present a simple model that is consistent with the results of their empirical studies by accounting for the reduced visibility of the pixels near the color boundaries. In addition to a better understanding of human perception of color composition, their findings will contribute to the development of color texture similarity metrics.

Original languageEnglish (US)
Article number010401
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Volume2020
Issue number11
DOIs
StatePublished - Jan 26 2020
Event2020 Human Vision and Electronic Imaging Conference, HVEI 2020 - Burlingame, United States
Duration: Jan 26 2020Jan 30 2020

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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