Harmonious graphics generating based on the 1/f function theory

Xia Mao, Yu-Li Xue, Lee-Lung Cheng and Yun Sun

Chaos, Solitons & Fractals, 2007, vol. 32, issue 2, 521-525

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.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:32:y:2007:i:2:p:521-525

DOI: 10.1016/j.chaos.2006.07.028

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