Visual complexity metric for images
Version 1.0.1 (1,49 ko) par
Dorukalp Durmus
The suprathreshold visual complexity metric (Rspt) quantifies the perceived visual complexity of an image.
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.
Citation pour cette source
Dorukalp Durmus (2025). Visual complexity metric for images (https://fr.mathworks.com/matlabcentral/fileexchange/107924-visual-complexity-metric-for-images), MATLAB Central File Exchange. Extrait(e) le .
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.
Compatibilité avec les versions de MATLAB
Créé avec
R2019b
Compatible avec les versions R2016a et ultérieures
Plateformes compatibles
Windows macOS LinuxTags
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.0.1 | Avatar image added. |
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| 1.0.0 |
