Blur detection for digital images using wavelet transform

Hanghang Tong, Mingjing Li, Hongjiang Zhang, Changshui Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

174 Scopus citations

Abstract

With the prevalence of digital cameras, the number of digital images increases quickly, which raises the demand for image quality assessment in terms of blur. Based on the edge type and sharpness analysis using Harr wavelet transform, a new blur detection scheme is proposed in this paper, which can determine whether an image is blurred or not and to what extent an image is blurred. Experimental results demonstrate the effectiveness of the proposed scheme.

Original languageEnglish (US)
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages17-20
Number of pages4
StatePublished - Dec 1 2004
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: Jun 27 2004Jun 30 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume1

Other

Other2004 IEEE International Conference on Multimedia and Expo (ICME)
CountryTaiwan, Province of China
CityTaipei
Period6/27/046/30/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Tong, H., Li, M., Zhang, H., & Zhang, C. (2004). Blur detection for digital images using wavelet transform. In 2004 IEEE International Conference on Multimedia and Expo (ICME) (pp. 17-20). (2004 IEEE International Conference on Multimedia and Expo (ICME); Vol. 1).