DCT based algorithm for blurred regions determination in digital images

Viktor Tuba, Marko Beko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


One of the common irregularities in digital images is blur, which is usually caused by the object motion, camera shake or out of focus. In this paper we present an algorithm for detecting images with blur, or blurred regions within an image. Blur is detected by analyzing DCT coefficients and introducing function and threshold for classification of appropriately sized sub-regions as blurred or non-blurred. Additionally, algorithm has a component for blur detection on pixel level. Our proposed algorithm exhibited superior performance compared to one of DCT based algorithms from literature.

Original languageEnglish
Title of host publication2015 23rd Telecommunications Forum, TELFOR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781509000548
Publication statusPublished - 8 Jan 2016
Event23rd Telecommunications Forum, TELFOR 2015 - Belgrade, Serbia
Duration: 24 Nov 201526 Nov 2015


Conference23rd Telecommunications Forum, TELFOR 2015


  • Blur detection
  • DCT coefficients
  • Image blur


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