The performance of image quality measures and spatial frequency information for visual complexity assessment
收藏IEEE2020-05-26 更新2026-04-17 收录
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https://ieee-dataport.org/documents/performance-image-quality-measures-and-spatial-frequency-information-visual-complexity
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The dataset consists of subjective evaluations of 44 naive observers judging the visual complexity of 16 images. The subjective judgments were done using a 5-point Likert-type scale with a neutral midpoint. The items in the scale were “very complex,” “complex,” “medium,” “simple,” and “very simple.” The order of the images was randomized for every participant.Spatial complexity properties of the images used in the experiment are quantified using nine spatial complexity measures: GIF, JPEG, root-mean-squared error, fractal D, entropy, spatial frequency information slope, suprathreshold detectability Rspt, and edge detection algorithms (Canny-GIF and Sobel-GIF).
提供机构：
Durmus, Dorukalp
创建时间：
2020-05-26
