Abstract
Image sparse decomposition is an efficient and key step for image compression, but hard problem. For sparse decomposition based on matching pursuit, this paper introduces a new anisotropy to construct over-complete dictionary, and makes use of an atom energy support to estimate the inner between atom and image. The results of image decomposition and construction show that image decomposition by the new atom has better performance and the computing speed is improved by 2 times.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhao, S., Zhang, H., Wang, X. (2011). Image Decomposition and Construction Based on Anisotropic Atom. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_35
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DOI: https://doi.org/10.1007/978-3-642-23324-1_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23323-4
Online ISBN: 978-3-642-23324-1
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