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1/f2 Characteristics and Isotropy in the Fourier Power Spectra of Visual Art Cartoons Comics Mangas and Different Categories of Photographs

机译:视觉艺术卡通漫画漫画和不同类别照片的傅立叶功率谱中的1 / f2特性和各向同性

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摘要

Art images and natural scenes have in common that their radially averaged (1D) Fourier spectral power falls according to a power-law with increasing spatial frequency (1/f2 characteristics), which implies that the power spectra have scale-invariant properties. In the present study, we show that other categories of man-made images, cartoons and graphic novels (comics and mangas), have similar properties. Further on, we extend our investigations to 2D power spectra. In order to determine whether the Fourier power spectra of man-made images differed from those of other categories of images (photographs of natural scenes, objects, faces and plants and scientific illustrations), we analyzed their 2D power spectra by principal component analysis. Results indicated that the first fifteen principal components allowed a partial separation of the different image categories. The differences between the image categories were studied in more detail by analyzing whether the mean power and the slope of the power gradients from low to high spatial frequencies varied across orientations in the power spectra. Mean power was generally higher in cardinal orientations both in real-world photographs and artworks, with no systematic difference between the two types of images. However, the slope of the power gradients showed a lower degree of mean variability across spectral orientations (i.e., more isotropy) in art images, cartoons and graphic novels than in photographs of comparable subject matters. Taken together, these results indicate that art images, cartoons and graphic novels possess relatively uniform 1/f2 characteristics across all orientations. In conclusion, the man-made stimuli studied, which were presumably produced to evoke pleasant and/or enjoyable visual perception in human observers, form a subset of all images and share statistical properties in their Fourier power spectra. Whether these properties are necessary or sufficient to induce aesthetic perception remains to be investigated.
机译:艺术图像和自然场景的共同点是,它们的径向平均(1D)傅里叶光谱功率根据幂律随空间频率(1 / f 2 特性)的增加而下降,这意味着功率谱具有尺度不变的属性。在本研究中,我们显示出其他类别的人造图像,卡通和图画小说(漫画和漫画)具有相似的属性。进一步,我们将研究范围扩展到2D功率谱。为了确定人造图像的傅立叶功率谱是否与其他类别的图像(自然场景,物体,面部和植物的照片以及科学插图)不同,我们通过主成分分析来分析其二维功率谱。结果表明,前十五个主要成分允许部分区分不同的图像类别。通过分析平均功率和从低空间频率到高空间频率的功率梯度的斜率是否在功率谱中的各个方向上变化,可以更详细地研究图像类别之间的差异。在真实世界的照片和艺术品中,基本方向上的平均功率通常都较高,而两种图像之间没有系统的差异。然而,与可比较主题的照片相比,在艺术图像,卡通和图画小说中,功率梯度的斜率在整个光谱方向上显示出较低的平均变化程度(即,各向同性)。综上所述,这些结果表明艺术图像,漫画和图画小说在所有方向上都具有相对统一的1 / f 2 特征。总之,所研究的人造刺激可能是为了唤起人类观察者的愉悦和/或愉悦的视觉感知,它们构成了所有图像的子集,并在其傅立叶功率谱中共享统计属性。这些属性是否是必要的或足以引起审美观尚待研究。

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