Title :
A Medical Image Fusion Algorithm Based on Lifting Wavelet Transform
Author :
Xue-jun, Wang ; Ying, Mu
Author_Institution :
Inf. Sci. & Technol. Coll., Shi Jia Zhuang Tie Dao Univ., Shijiazhuang, China
Abstract :
Image fusion is a technique that integrates the information of multiple images into one image, which makes the fused image more accurate, more comprehensive and reliable. In order to improve the traditional medical image fusion algorithms which often cause details loss, the source medical images are decomposed by way of lifting wavelet, and the high-low frequency weight are utilized according to different fusion rules. Finally the target image is obtained through inverse wavelet transform. The simulation result shows that the algorithm is feasible and effective.
Keywords :
discrete wavelet transforms; image fusion; medical image processing; high-low frequency weight; inverse wavelet transform; lifting wavelet transform; medical image fusion algorithm; Frequency measurement; Image fusion; Medical diagnostic imaging; Wavelet analysis; Wavelet transforms; high-low frequency weight; image fusion; lifting wavelet; medical image;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.337