Efficient space-variant deconvolution”

  • Stefan Harmeling | Max-Planck Institute

Blur in photos due to camera shake, blur in astronomical image
sequences due to atmospheric turbulence, and blur in magnetic
resonance imaging sequences due to object motion are examples of blur that can not be adequately described as a space-invariant convolution, because such blur varies across the image. In this talk, we present a class of linear transformations, that are expressive enough for space-variant blurs, but at the same time especially designed for efficient matrix-vector-multiplications. Successful results on the above-mentioned examples and on lens correction demonstrate the practical
significance of our approach.

    • Portrait of Jeff Running

      Jeff Running

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