Accelerated signal encoding and reconstruction using pixon...

Image analysis – Image enhancement or restoration – Image filter

Reexamination Certificate

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C382S205000, C382S275000

Reexamination Certificate

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06895125

ABSTRACT:
The method identifies a Pixon element, which is a fundamental and indivisible unit of information, and a Pixon basis, which is the set of possible functions from which the Pixon elements are selected. The actual Pixon elements selected from this basis during the reconstruction process represents the smallest number of such units required to fit the data and representing the minimum number of parameters necessary to specify the image. The Pixon kernels can have arbitrary properties (e.g., shape, size, and/or position) as needed to best fit the data.

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Puetter, R. C.,Pixons and Bayesian image reconstruction, reprinted from Image Reconstruction and Restoration, Jul. 25-26, 1994, San Diego, California, 1994, pp. 112-131, vol. 2302, Society of Photo-Optical Instrumentation Engineers, USA.

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