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Blind Deconvolution

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Computer Vision

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Synonyms

Deblurring; Deconvolution; Kernel estimation; Motion deblurring; PSF estimation

Related Concepts

Denoising; Image-Based Modeling; Inpainting

Definition

Blind image deconvolution is the problem of recovering a sharp image (such as that captured by an ideal pinhole camera) from a blurred and noisy one, without exact knowledge of how the image was blurred. The unknown blurring operation may result from camera motion, scene motion, defocus, or other optical aberrations.

Background

A correct photographic exposure requires a trade-off in exposure time and aperture setting. When illumination is poor, the photographer can choose to use a long exposure time or a large aperture. The first setting results in motion blur when the camera moves relative to objects in the scene during the exposure. The second setting results in out-of-focus blur for objects at depths away from the focal plane. Furthermore, these effects may be exacerbated by the user due to camera shake, incorrect focus...

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References

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Author information

Authors and Affiliations

  1. Image Algorithms Engineer, Apple, Cupertino, CA, USA

    Tom Bishop

  2. Department of Computer Science and Applied Mathematics, Universität Bern, Bern, Switzerland

    Paolo Favaro

Authors
  1. Tom Bishop
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  2. Paolo Favaro
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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Bishop, T., Favaro, P. (2014). Blind Deconvolution. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_771

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