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Image Enhancement and Restoration: Traditional Approaches

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Computer Vision

Synonyms

Image inverse problems

Related Concepts

Definition

Image enhancement and restoration is a procedure that attempts to improve the image quality by removing the degradation while preserving the underlying image characteristics.

Background

Image quality is often deteriorated during acquisition, compression, and transmission. Typical degradations include image blur introduced by lens out-of-focus, resolution downgrade due to acquisition equipment pixel limitation, noise spots introduced at high ISO, and JPEG block artifact, as illustrated in Fig. 1. Image enhancement and restoration is a procedure that attempts to improve the image quality by removing the degradation while preserving the underlying image characteristics. For some specific degradations as mentioned above, image enhancement and restoration is also known as deblurring, super-resolution zooming, denoising, and deblocking. While jointly addressed here and in most of the...

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA

    Guoshen Yu

  2. Electrical and Computer Engineering, Computer Science, and Biomedical Engineering, Duke University, Durham, NC, USA

    Guillermo Sapiro

Authors
  1. Guoshen Yu
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  2. Guillermo Sapiro
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Corresponding author

Correspondence to Guoshen Yu .

Section Editor information

  1. No affiliation provided

    Jitendra Malik

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Yu, G., Sapiro, G. (2020). Image Enhancement and Restoration: Traditional Approaches. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_233-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_233-1

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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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