Literature DB >> 16862835

Neural adjustments to chromatic blur.

Michael A Webster1, Yoko Mizokami, Leedjia A Svec, Sarah L Elliott.   

Abstract

The perception of blur in images can be strongly affected by prior adaptation to blurry images or by spatial induction from blurred surrounds. These contextual effects may play a role in calibrating visual responses for the spatial structure of luminance variations in images. We asked whether similar adjustments might also calibrate the visual system for spatial variations in color. Observers adjusted the amplitude spectra of luminance or chromatic images until they appeared correctly focused, and repeated these measurements either before or after adaptation to blurred or sharpened images or in the presence of blurred or sharpened surrounds. Prior adaptation induced large and distinct changes in perceived focus for both luminance and chromatic patterns, suggesting that luminance and chromatic mechanisms are both able to adjust to changes in the level of blur. However, judgments of focus were more variable for color, and unlike luminance there was little effect of surrounding spatial context on perceived blur. In additional measurements we explored the effects of adaptation on threshold contrast sensitivity for luminance and color. Adaptation to filtered noise with a 1/f spectrum characteristic of natural images strongly and selectively elevated thresholds at low spatial frequencies for both luminance and color, thus transforming the chromatic contrast sensitivity function from lowpass to nearly bandpass. These threshold changes were found to reflect interactions between different spatial scales that bias sensitivity against the lowest spatial grain in the image, and may reflect adaptation to different stimulus attributes than the attributes underlying judgments of image focus. Our results suggest that spatial sensitivity for variations in color can be strongly shaped by adaptation to the spatial structure of the stimulus, but point to dissociations in these visual adjustments both between luminance and color and different measures of spatial sensitivity.

Mesh:

Year:  2006        PMID: 16862835     DOI: 10.1163/156856806776923380

Source DB:  PubMed          Journal:  Spat Vis        ISSN: 0169-1015


  11 in total

1.  Adaptation to astigmatic blur.

Authors:  Lucie Sawides; Susana Marcos; Sowmya Ravikumar; Larry Thibos; Arthur Bradley; Michael Webster
Journal:  J Vis       Date:  2010-10-18       Impact factor: 2.240

2.  On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.

Authors:  Tatyana O Sharpee; Kenneth D Miller; Michael P Stryker
Journal:  J Neurophysiol       Date:  2008-03-19       Impact factor: 2.714

Review 3.  Adaptation and visual coding.

Authors:  Michael A Webster
Journal:  J Vis       Date:  2011-05-20       Impact factor: 2.240

4.  Adapting to blur produced by ocular high-order aberrations.

Authors:  Lucie Sawides; Pablo de Gracia; Carlos Dorronsoro; Michael Webster; Susana Marcos
Journal:  J Vis       Date:  2011-06-28       Impact factor: 2.240

5.  Visual Adaptation.

Authors:  Michael A Webster
Journal:  Annu Rev Vis Sci       Date:  2015-10-22       Impact factor: 6.422

6.  Visual discomfort and natural image statistics.

Authors:  Igor Juricevic; Leah Land; Arnold Wilkins; Michael A Webster
Journal:  Perception       Date:  2010       Impact factor: 1.490

7.  Response normalization and blur adaptation: data and multi-scale model.

Authors:  Sarah L Elliott; Mark A Georgeson; Michael A Webster
Journal:  J Vis       Date:  2011-02-09       Impact factor: 2.240

8.  Single neural code for blur in subjects with different interocular optical blur orientation.

Authors:  Aiswaryah Radhakrishnan; Lucie Sawides; Carlos Dorronsoro; Eli Peli; Susana Marcos
Journal:  J Vis       Date:  2015       Impact factor: 2.240

9.  Adaptation to interocular differences in blur.

Authors:  Elysse Kompaniez; Lucie Sawides; Susana Marcos; Michael A Webster
Journal:  J Vis       Date:  2013-05-31       Impact factor: 2.240

10.  Taking a close look at electrosensing.

Authors:  Tatyana O Sharpee
Journal:  Elife       Date:  2016-04-29       Impact factor: 8.140

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