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Bayesian correction with geometrical priors for image noise reduction

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Noise Reduction by Wavelet Thresholding

Part of the book series: Lecture Notes in Statistics ((LNS,volume 161))

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Abstract

Image processing is not merely a two-dimensional translation of traditional signal processing techniques. The two-dimensional character has some important consequences, such as the existence of line singularities, manifesting as edges. The observations explained in this section also provide the basis for the development of new types of basis functions, such as ridgelets [37].

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© 2001 Springer Science+Business Media New York

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Jansen, M. (2001). Bayesian correction with geometrical priors for image noise reduction. In: Noise Reduction by Wavelet Thresholding. Lecture Notes in Statistics, vol 161. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0145-5_6

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  • DOI: https://doi.org/10.1007/978-1-4613-0145-5_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95244-4

  • Online ISBN: 978-1-4613-0145-5

  • eBook Packages: Springer Book Archive

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