Title :
Image enhancement based on lifting wavelet transform
Author_Institution :
Sichuan Univ. of Sci. & Eng. (SUSE), Zigong, China
Abstract :
The traditional image enhancement algorithms enhance noise signal in image while they enhance image, which leads to the de-scent of information entropy. Designing image enhancement systems with good nature is a goal which all researchers pursue. Method of lifting can best deal with MRA Multi-resolution Analysis method which is time and memory consuming which impedes its real-time application. The process of lifting method was introduced. Method of image enhancement based on lifting wavelet was introduced. The algorithm and traditional wavelet image enhancement algorithms are compared. Result of the experiment indicate, the quality of image have been improved. It is better than traditional wavelet image enhancement algorithms.
Keywords :
image denoising; image enhancement; image resolution; wavelet transforms; image enhancement; information entropy; lifting wavelet transform; multiresolution analysis method; noise signal enhancement; Computer science; Computer science education; Frequency; Image enhancement; Image processing; Information entropy; Low-frequency noise; Multiresolution analysis; Wavelet analysis; Wavelet transforms; Image Enhancement; Wavelet Transform; lifting wavelet;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228128