Image super-resolution: Historical overview and future challenges

Jianchao Yang, Thomas Huang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In most digital imaging applications, high resolution images or videos are usually desired for later image processing and analysis. The desire for high resolution stems from two principal application areas: improvement of pictorial information for human interpretation; and helping representation for automatic machine perception. Image resolution describes the details contained in an image, the higher the resolution, the more image details. The resolution of a digital image can be classified in many different ways: pixel resolution, spatial resolution, spectral resolution, temporal resolution, and radiometric resolution. In this context, we are mainly interested in spatial resolution.

Original languageEnglish (US)
Title of host publicationSuper-Resolution Imaging
PublisherCRC Press
Pages1-33
Number of pages33
ISBN (Electronic)9781439819319
ISBN (Print)9781439819302
DOIs
StatePublished - Jan 1 2017

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Optical resolving power
Image resolution
radiometric resolution
spatial resolution
Spectral resolution
high resolution
image resolution
temporal resolution
image analysis
stems
spectral resolution
Image analysis
image processing
Image processing
Pixels
pixels
Imaging techniques

ASJC Scopus subject areas

  • Computer Science(all)
  • Physics and Astronomy(all)
  • Engineering(all)

Cite this

Image super-resolution : Historical overview and future challenges. / Yang, Jianchao; Huang, Thomas.

Super-Resolution Imaging. CRC Press, 2017. p. 1-33.

Research output: Chapter in Book/Report/Conference proceedingChapter

Yang, Jianchao ; Huang, Thomas. / Image super-resolution : Historical overview and future challenges. Super-Resolution Imaging. CRC Press, 2017. pp. 1-33
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