DocumentCode
595124
Title
Image enhancement by wavelet multi-scale edge statistics
Author
Liew, Alan Wee-Chung ; Jun Jo ; Yong-Sik Chun ; Tae-Hong Ahn ; Tae Byong Chae
Author_Institution
Sch. of Inf. & Commun. Technol., Griffith Univ., Griffith, QLD, Australia
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
2025
Lastpage
2028
Abstract
The distribution of wavelet modulus maxima across wavelet scales can be used to characterize edges in an image. In this paper, we present a novel algorithm that performs image enhancement by mapping the distribution of the wavelet modulus maxima of the blurred image to that of a generic sharp image. Experimental results confirm that the proposed algorithm is able to perform image enhancement without introducing unpleasant visual artifacts.
Keywords
image enhancement; image restoration; statistical analysis; wavelet transforms; blurred image; edge characterization; generic sharp image; image enhancement; wavelet modulus maxima distribution mapping; wavelet multiscale edge statistics; Image edge detection; Image enhancement; Image reconstruction; Signal processing algorithms; Smoothing methods; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460557
Link To Document