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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4
