Visual complexity metric for images

版本 1.0.1 (1.5 KB) 作者: Dorukalp Durmus
The suprathreshold visual complexity metric (Rspt) quantifies the perceived visual complexity of an image.
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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.
For more information: https://ieeexplore.ieee.org/document/9103062

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

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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