CNP2D: The Chromatic Noise Pattern Discrimination Dataset

Pixel-wise color difference metrics like ΔE00 have long been used in image analysis, but it remains unclear how scores should be integrated over space. To highlight this, a psychophysical experiment was conducted to characterize visual sensitivity to differences in chromatic noise patterns in different color and pattern contexts. The results demonstrated that observers were more sensitive to chromatic noise pattern (CNP) differences when similar colors were spatially dispersed over the pattern as opposed to clustered. Further analysis with common image color and texture difference metrics showed that none were sensitive to this effect. This finding highlights the need for metrics which capture the perceptual interaction between color and texture.

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Publication Details

Journal
Color and Imaging Conference
Published
2024-10-28
DOI
https://doi.org/10.2352/cic.2024.32.1.8
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

CNP2D: The Chromatic Noise Pattern Discrimination Dataset

Peter Morovič, Ján Morovič, Trevor Canham, Michael S. Brown et al.
Color and Imaging Conference
Music and Audio Processing
article

CNP2D: The Chromatic Noise Pattern Discrimination Dataset

Peter Morovič, Ján Morovič, Trevor Canham, Michael S. Brown, Richard F. Murray
article en

Abstract

Pixel-wise color difference metrics like ΔE00 have long been used in image analysis, but it remains unclear how scores should be integrated over space. To highlight this, a psychophysical experiment was conducted to characterize visual sensitivity to differences in chromatic noise patterns in different color and pattern contexts. The results demonstrated that observers were more sensitive to chromatic noise pattern (CNP) differences when similar colors were spatially dispersed over the pattern as opposed to clustered. Further analysis with common image color and texture difference metrics showed that none were sensitive to this effect. This finding highlights the need for metrics which capture the perceptual interaction between color and texture.

Color and Imaging ConferenceVol. 32(1)
Reduced inequalities
Openalex Percentile: Top 70%
Music and Audio Processing
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