Abstract
In this paper we propose the method that can estimate the relative degree of blurring from images. 2 dimensional(2D) autoregressive(AR) model and empirical mode decomposition are used for estimating blurring parameter to represent the degree of blurring in the method. In experimental results, we found that the relative degree of blurring in image is represented by the estimated AR coefficient of residue of empirical mode decomposition result and also maximum auto-correlation value of the residue in empirical mode decomposition results is proportional to the degree of blurring. As a result, we show that the proposed method can parameterizes blurring image by AR coefficient.
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© 2012 Springer-Verlag Berlin Heidelberg
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Nam, M., Lee, Y. (2012). 2D AR(1,1) Analysis of Blurring Image by Empirical Mode Decomposition. In: Kim, Th., Mohammed, S., Ramos, C., Abawajy, J., Kang, BH., Ślęzak, D. (eds) Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition. ICHCI WSE SIP 2012 2012 2012. Communications in Computer and Information Science, vol 342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35270-6_17
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DOI: https://doi.org/10.1007/978-3-642-35270-6_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35269-0
Online ISBN: 978-3-642-35270-6
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