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Harmonious graphics generating based on the 1/f function theory

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Listed:
  • Mao, Xia
  • Xue, Yu-Li
  • Cheng, Lee-Lung
  • Sun, Yun

Abstract

In the 1970s, Richard Voss and John Clarke researched the actual audio physical sound of music. There are three types of noise: white noise, 1/f noise, and Brownian motion noise (1/f2). 1/f noise is found to be most pleasing to human ears. White noise is too random and Brownian noise is too correlated. Similarly, for 2-dimensional sources such as graphics and images, three characteristics of monotonous, harmony and muss are also observed. The 1/f fluctuation theory provides a good way to generate affective signals both for 1-dimensional and 2-dimensional signals. This paper provides an algorithm which can generate affective patterns or graphics and obey the criteria of affective information processing.

Suggested Citation

  • Mao, Xia & Xue, Yu-Li & Cheng, Lee-Lung & Sun, Yun, 2007. "Harmonious graphics generating based on the 1/f function theory," Chaos, Solitons & Fractals, Elsevier, vol. 32(2), pages 521-525.
    • Handle: RePEc:eee:chsofr:v:32:y:2007:i:2:p:521-525
    DOI: 10.1016/j.chaos.2006.07.028
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    References listed on IDEAS

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    1. Mao, Xia & Zhang, Na & Sun, Yun & Cheng, Lee-Lung, 2005. "Study on the affective property of music," Chaos, Solitons & Fractals, Elsevier, vol. 26(3), pages 685-694.
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