Visual complexity metric for images

The suprathreshold visual complexity metric (Rspt) quantifies the perceived visual complexity of an image.
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Updated 13 Mar 2022

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The suprathreshold visual complexity metric (Rspt) quantifies the perceived visual complexity of an image.
Rspt values of less than 100 mean that an image is visually not complex (simple), and Rspt values around more than 300 means that an image is complex.
The results are verified by a pyshcophysical experiment.

Cite As

Dorukalp Durmus (2025). Visual complexity metric for images (https://ch.mathworks.com/matlabcentral/fileexchange/107924-visual-complexity-metric-for-images), MATLAB Central File Exchange. Retrieved .

Durmus, Dorukalp. “Spatial Frequency and the Performance of Image-Based Visual Complexity Metrics.” IEEE Access, vol. 8, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 100111–19, doi:10.1109/access.2020.2998292.

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MATLAB Release Compatibility
Created with R2019b
Compatible with R2016a and later releases
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.1

Avatar image added.

1.0.0