DocumentCode
2566321
Title
Blur detection for digital images using wavelet transform
Author
Tong, Hanghang ; Li, Mingjing ; Zhang, Hongjiang ; Zhang, Changshui
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
1
fYear
2004
fDate
27-30 June 2004
Firstpage
17
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 the 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.
Keywords
edge detection; feature extraction; wavelet transforms; Harr wavelet transform; automatic blur detection; blur extent determination; digital image blur detection; discriminative features; edge sharpness analysis; edge type analysis; image quality assessment; Asia; Automation; Digital cameras; Digital images; Image analysis; Image edge detection; Image quality; Image reconstruction; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Print_ISBN
0-7803-8603-5
Type
conf
DOI
10.1109/ICME.2004.1394114
Filename
1394114
Link To Document