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Deblurring

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Computer Vision

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Synonyms

Deconvolution

Related Concepts

Definition

Deblurring is a process to recover sharp and clear images from blurry images.

Background

Blur usually occurs when taking a photo with long exposure time or with wrong focal length. This is because the lights captured for a pixel are mixed with the lights captured for the other pixels within a local neighborhood during the exposure period. Such effect is modeled by the blur kernel (a.k.a., point spread function) which describes how the lights are mixed during the exposure period. The goal of deblurring is to recover sharp and clear images of the scene from the captured blurred images. Deblurring, however, is a severely ill-posed problem because the number of unknowns exceeds the number of equations that can be derived from the observed data.

The problem of deblurring can be further categorized into non-blind deblurring and blind deblurring according...

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Author information

Authors and Affiliations

  1. Hong Kong University of Science and Technology, Hong Kong, China

    Yu-Wing Tai

  2. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

    Jinshan Pan

Authors
  1. Yu-Wing Tai
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  2. Jinshan Pan
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Section Editor information

  1. Osaka University, Suita, Japan

    Yasuyuki Matsushita

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Tai, YW., Pan, J. (2020). Deblurring. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_510-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_510-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03243-2

  • Online ISBN: 978-3-030-03243-2

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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