Literature DB >> 16226784

Colour unmasks dark targets in complex displays.

Frederick A A Kingdom1, Reza Kasrai.   

Abstract

Recent studies have suggested that colour (meaning chromatic) variations help the visual system segment luminance-variegated displays into their illumination and reflectance layers. This leads to the prediction that colour variations should unmask partially camouflaged achromatic transparencies on luminance-variegated backgrounds. We used 'Mondrian-like' backgrounds that were either achromatic, i.e., varying only in luminance, or chromatic, which in our stimuli meant varying in both luminance and colour. Both achromatic and chromatic backgrounds had the same luminance distribution. Thresholds for detecting simulated transparency targets were found to be lower when on the chromatic compared to achromatic backgrounds. We hypothesised that the chromatic-background advantage resulted from the extra cue provided by colour as to which borders were background and which transparency, predicting that (a) randomising the colours on either side of the transparency border, (b) rotating the target to destroy its X-junctions, and (c) viewing the target eccentrically, would each destroy the chromatic-background advantage. However, none of these predictions was upheld. We suggest therefore that the chromatic-background advantage is due to a low-level, rather than border-disambiguation mechanism. We suggest that chromatic variations reduce the noise, but not the signal, in the mechanism that detects dark targets in complex displays.

Mesh:

Year:  2005        PMID: 16226784     DOI: 10.1016/j.visres.2005.08.018

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  2 in total

1.  Second-order mappings in grapheme-color synesthesia.

Authors:  Marcus R Watson; Kathleen A Akins; James T Enns
Journal:  Psychon Bull Rev       Date:  2012-04

2.  The perceptual balance of color.

Authors:  Kyle C McDermott; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-02-01       Impact factor: 2.129

  2 in total

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