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Summary
This summary is machine-generated.

This study presents a computer program to calculate retinal contrast images from scene luminances using the CIE standard Glare Spread Function (GSF). It details HDR scene measurement, data conversion, and retinal image calculation, comparing results with observer data.

Keywords:
calculate light on retinaglarehigh dynamic range HDRhuman response to lightlightnessneural spatial processingopen source code:MATLABscene content

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Area of Science:

  • Visual perception
  • Computational imaging
  • Optometry

Background:

  • Accurate calculation of retinal image contrast is crucial for understanding visual perception.
  • Existing methods may not fully capture the complexities of high dynamic range (HDR) scenes.
  • Standardized glare functions are essential for reproducible contrast calculations.

Purpose of the Study:

  • To describe a computer program for calculating retinal contrast images from scene luminances.
  • To detail the methodology for measuring HDR scenes and converting data for calculations.
  • To compare calculated retinal images with observer data.

Main Methods:

  • Utilized achromatic transparency targets and luminance meters for scene measurements.
  • Employed the CIE standard Glare Spread Function (GSF) for retinal contrast calculation.
  • Developed and validated the computational model against observer data.

Main Results:

  • Successfully calculated retinal contrast images from scene luminance arrays.
  • Demonstrated techniques for accurate HDR scene measurement and data conversion.
  • Provided open-source MATLAB code for retinal image calculation and visualization.

Conclusions:

  • The developed program accurately calculates retinal contrast images.
  • The methodology allows for detailed analysis and comparison with human visual perception.
  • The study offers valuable tools for research in visual optics and display technology.