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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