Abstract
Various factors would make influences on the process of forming, transmitting and recording the image, which led to the decrease of quality and degenerated image registered as blur and distortion. Through simulation experiment based on the model of mathematics with and without noise, the paper arrives at a conclusion that two factors – the impact of signal noise ratio and autocorrelation function of noise are supposed to take into consideration if noise exists. Experiments show that Wiener Filtering better processes image restoration.
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© 2012 Springer-Verlag Berlin Heidelberg
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Xiao, F. (2012). Image Restoration Theoretical Analysis and Realization Based on Wiener Filtering. In: Zhang, T. (eds) Future Computer, Communication, Control and Automation. Advances in Intelligent and Soft Computing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25538-0_96
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DOI: https://doi.org/10.1007/978-3-642-25538-0_96
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