Image Priors and Blind Deconvolution

William Freeman

doi:10.1364/DIPA.2010.DMC1

Imaging and Applied Optics Congress
OSA Technical Digest (CD) (Optica Publishing Group, 2010),
paper DMC1
•https://doi.org/10.1364/DIPA.2010.DMC1

Image Priors and Blind Deconvolution

William Freeman

Digital Image Processing and Analysis 2010

Tucson, Arizona United States
7–8 June 2010
ISBN: 978-1-55752-892-6

From the session
Image Restoration (DMC)

Open Access

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W. Freeman, "Image Priors and Blind Deconvolution," in Imaging and Applied Optics Congress, OSA Technical Digest (CD) (Optica Publishing Group, 2010), paper DMC1.

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Abstract

"Blind deconvolution" is a beautiful, ill-posed problem: given an image that has been blurred by some unknown convolution kernel, estimate the image before it was it blurred. Lurking within this problem are nice, deep questions: What is an image, and how can you tell when one has been blurred? How should we solve very underdetermined inference problems? Article not availalbe.

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