1/f 2 Characteristics and isotropy in the fourier power spectra of visual art, cartoons, comics, mangas, and different categories of photographs.
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/f(2) 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/f(2) 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.
Koch
Michael
M
Department of Computer Science, Friedrich Schiller University, Jena, Germany.
Denzler
Joachim
J
Redies
Christoph
C
D001154:Art; D002359:Cartoons as Topic; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010781:Photography; D025341:Principal Component Analysis
J Opt Soc Am A Opt Image Sci Vis. 2006 Sep;23(9):2085-96
16912735
Vision Res. 1996 Sep;36(17):2759-70
8917763
Ophthalmic Physiol Opt. 1992 Apr;12(2):229-32
1408179
Vision Res. 1997 Dec;37(23):3385-98
9425551
Network. 2003 Aug;14(3):391-412
12938764
Chaos. 2005 Dec;15(4):043702
16396592
J Vis. 2004 Dec 10;4(12):1044-60
15669910
J Cogn Neurosci. 1991 Winter;3(1):71-86
23964806
Spat Vis. 2007;21(1-2):149-64
18073056
Vision Res. 2010 Jul 21;50(16):1503-9
20580643
Perception. 2008;37(7):1098-113
18773732
Network. 1996 May;7(2):333-9
16754394
Phys Rev Lett. 1994 Aug 8;73(6):814-817
10057546
Network. 2007 Sep;18(3):235-48
17852751
Spat Vis. 2007;21(1-2):137-48
18073055
Curr Opin Neurobiol. 2004 Aug;14(4):481-7
15321069
Phys Rev Lett. 2005 Mar 18;94(10):108103
15783530
Perception. 2008;37(9):1341-52
18986061
Appl Opt. 1987 Jan 1;26(1):157-70
20454092
Spat Vis. 2007;21(1-2):97-117
18073053
J Opt Soc Am A. 1987 Dec;4(12):2379-94
3430225
Proc Biol Sci. 1998 Mar 7;265(1394):359-66
9523437
Annu Rev Psychol. 2008;59:167-92
17705683
Science. 2000 Feb 18;287(5456):1273-6
10678835