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Controlling low-level image properties: the SHINE toolbox.

Verena Willenbockel1, Javid Sadr, Daniel Fiset

  • 1Département de Psychologie, Université de Montréal, Montréal, Québec, Canada. verena.willenbockel@umontreal.ca

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This summary is machine-generated.

Researchers developed the SHINE toolbox to control image properties like spectrum and contrast. This helps separate low-level visual factors from high-level cognitive influences in perception studies.

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Area of Science:

  • Visual perception research
  • Computational neuroscience
  • Image processing

Background:

  • Visual perception is influenced by both top-down (goals, expectations) and bottom-up (luminance, contrast, spatial frequency) processes.
  • Disentangling low-level stimulus attributes from high-level cognitive factors is a challenge in visual science.
  • Controlling physical stimulus properties is crucial for isolating perceptual mechanisms.

Purpose of the Study:

  • To introduce the SHINE (spectrum, histogram, and intensity normalization and equalization) toolbox for MATLAB.
  • To provide a method for controlling and equating image properties across different experimental conditions.
  • To minimize low-level confounds in studies investigating higher-level visual processing.

Main Methods:

  • The SHINE toolbox offers functions to specify Fourier amplitude spectra.
  • It enables normalization and scaling of mean luminance and contrast.
  • The toolbox allows for precise histogram specification optimized for visual quality.

Main Results:

  • SHINE provides parametric control over multiple image properties simultaneously or individually.
  • The toolbox facilitates the equalization of image characteristics across stimuli.
  • This enables researchers to minimize confounds arising from low-level stimulus variations.

Conclusions:

  • The SHINE toolbox is a valuable resource for visual perception research.
  • It aids in the systematic manipulation and control of image properties.
  • By minimizing low-level confounds, SHINE supports the investigation of higher-level visual processes.