Abstract
According to the feature of fuzzy and the quality reduce background of plate image, this paper presents a Spectrum Estimation Partition Deblur (SEPD) algorithm to restore complex blur image. This algorithm is based on spectrum estimation and extracts the blur kernel information from the dark strips in frequency spectrum, and makes the traditional algorithm better to improve the algorithm’s accuracy and noise capacity. Through the partition recovery strategy, each piece of image is deblurred separately, and then are integrated into a whole image by edge fitting. Through the analysis of actual measurements, the algorithm performs high accuracy and better noise immunity, and also improves the quality of the shape image obviously.
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© 2015 Springer International Publishing Switzerland
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Wu, X., Xu, H., Gui, X., Li, W., Yao, Z. (2015). Research on an Algorithm of Shape Motion Deblurring. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9225. Springer, Cham. https://doi.org/10.1007/978-3-319-22180-9_32
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DOI: https://doi.org/10.1007/978-3-319-22180-9_32
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