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ICIP
2000
IEEE

Generalized Wiener Reconstruction of Images from Colour Sensor Data Using a Scale Invariant Prior

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Generalized Wiener Reconstruction of Images from Colour Sensor Data Using a Scale Invariant Prior
An algorithm is described for reconstructing images from colour sensor samples, which need not be aligned nor conform to a rectangular sampling geometry. The algorithm has applications in demosaicing digital camera CFA data, and processing other imaging modalities such as scanned images and captured video. A unique scale invariant WSS prior model is described for the uncorrupted surface spectral reflectance functions and used to form LLMSE optimal reconstructions with constrained support operators. Some important results are established concerning the existence and tractability of the solutions based on this prior.
David Taubman
Added 25 Oct 2009
Updated 25 Oct 2009
Type Conference
Year 2000
Where ICIP
Authors David Taubman
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