Literature DB >> 32466442

Effects of Spatial Frequency Filtering Choices on the Perception of Filtered Images.

Sabrina Perfetto1, John Wilder2, Dirk B Walther2,3.   

Abstract

The early visual system is composed of spatial frequency-tuned channels that break an image into its individual frequency components. Therefore, researchers commonly filter images for spatial frequencies to arrive at conclusions about the differential importance of high versus and low spatial frequency image content. Here, we show how simple decisions about the filtering of the images, and how they are displayed on the screen, can result in drastically different behavioral outcomes. We show that jointly normalizing the contrast of the stimuli is critical in order to draw accurate conclusions about the influence of the different spatial frequencies, as images of the real world naturally have higher contrast energy at low than high spatial frequencies. Furthermore, the specific choice of filter shape can result in contradictory results about whether high or low spatial frequencies are more useful for understanding image content. Finally, we show that the manner in which the high spatial frequency content is displayed on the screen influences how recognizable an image is. Previous findings that make claims about the visual system's use of certain spatial frequency bands should be revisited, especially if their methods sections do not make clear what filtering choices were made.

Entities:  

Keywords:  Butterworth filter; contrast normalization; natural scenes; scene categorization; scene gist; spatial frequencies

Year:  2020        PMID: 32466442     DOI: 10.3390/vision4020029

Source DB:  PubMed          Journal:  Vision (Basel)        ISSN: 2411-5150


  6 in total

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2.  Nature in motion: The tuning of the visual system to the spatiotemporal properties of natural scenes.

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Journal:  J Vis       Date:  2022-05-03       Impact factor: 2.004

3.  Contour features predict valence and threat judgements in scenes.

Authors:  Claudia Damiano; Dirk B Walther; William A Cunningham
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4.  The Predictive Role of Low Spatial Frequencies in Automatic Face Processing: A Visual Mismatch Negativity Investigation.

Authors:  Adeline Lacroix; Sylvain Harquel; Martial Mermillod; Laurent Vercueil; David Alleysson; Frédéric Dutheil; Klara Kovarski; Marie Gomot
Journal:  Front Hum Neurosci       Date:  2022-03-11       Impact factor: 3.169

5.  Sensitivity to trustworthiness cues in own- and other-race faces: The role of spatial frequency information.

Authors:  Valentina Silvestri; Martina Arioli; Elisa Baccolo; Viola Macchi Cassia
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6.  Differences in cortical processing of facial emotions in broader autism phenotype.

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  6 in total

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