Abstract
Smear Phenomenon is the inherent characteristics of frame transfer CCD. In this paper we proposed a novel method for smear intensity estimation and elimination. First, we analyzed the detailed imaging mechanism and principle to eliminate smear. Then, adaptive threshold is applied to determine model to locate smear region, and statistical analysis and alpha-trimmed mean filter to estimate smear intensity with high precision. Eventually, eliminate the smear using differential filter to improve the image quality. The method not only applies to singer image, but also for image sequence. Experimental results of real images show that this method can effectively remove the smear signal while better preserve characteristics of weak target.
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© 2012 Springer-Verlag Berlin Heidelberg
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Sun, J., Zhou, J. (2012). A Novel Method for Smearing Intensity Estimation and Elimination. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_60
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DOI: https://doi.org/10.1007/978-3-642-31919-8_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31918-1
Online ISBN: 978-3-642-31919-8
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