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• W3031445814 abstract "There is a wide range of visual and spatial complexity measurement methods that aim to quantify perceived image complexity. While image-based calculation methods (edge detection, image compression, contrast) characterize a digital image, visual perception studies focus on fundamental visual mechanisms, such as contrast sensitivity and visual task performance. Despite the evidence from several vision studies, spatial frequency information has not been widely utilized to assess image complexity. Previous studies suggest that image-based performance metrics are limited in explaining perceived complexity due to confounding factors, such as context, memory, familiarity, and expectation. Here, a visual experiment is conducted to assess the performance of image-based metrics and spatial frequency information using 16 abstract and natural images. Anew image complexity metric(R <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>spt</sub> ), based on detectability suprathreshold, was proposed to benchmark the performance of existing measures. Forty-four naïve participants used a 5-point Likert-type scale to judge the visual complexity of the images displayed on a tablet. Results indicate that root-mean-square error (RMSE) and R <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>spt</sub> correlate statistically significantly with subjective evaluations. Biological sex did not affect perceived spatial complexity. While RMSE and R <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>spt</sub> can potentially be used to estimate the spatial complexity of display images, the performance of spatial frequency information and image assessment measures in immersive viewing conditions require further research." @default.
• W3031445814 created "2020-06-05" @default.
• W3031445814 creator A5022250835 @default.
• W3031445814 date "2020-01-01" @default.
• W3031445814 modified "2023-10-05" @default.
• W3031445814 title "Spatial Frequency and the Performance of Image-Based Visual Complexity Metrics" @default.
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• W3031445814 doi "https://doi.org/10.1109/access.2020.2998292" @default.
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