Patch Mosaic for Fast Motion Deblurring
icon This paper proposes using a mosaic image patches composed of the most informative edges found in the original blurry image for the purpose of estimating a motion blur kernel with minimum computational cost. To select these patches we develop a new image analysis tool to efficiently locate informative patches we call the informative-edge map. The combination of patch mosaic and informative patch selection enables a new motion blur kernel estimation algorithm to recover blur kernels far more quickly and accurately than existing state-of-the-art methods. We also show that patch mosaic can form a framework for reducing the computation time of other motion deblurring algorithms with minimal modification. Experimental results with various test images show that our algorithm to be 5-100 times faster than previously published blind motion deblurring algorithms while achieving equal or better estimation accuracy.

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Text Reference

Hyeoungho Bae, Charless Fowlkes, and Pai H Chou. Patch mosaic for fast motion deblurring. In Asian Conference on Computer Vision (ACCV). 2012.

BibTeX Reference

    author = "Bae, Hyeoungho and Fowlkes, Charless and Chou, Pai H",
    title = "Patch Mosaic for Fast Motion Deblurring",
    booktitle = "Asian Conference on Computer Vision (ACCV)",
    year = "2012"