Title :
Multilevel and Multifocus Image Fusion Based on Multi-Wavelet Transformation
Author :
Wu Yiqi ; You Jing ; Wu Guoping
Author_Institution :
Sch. of Comput., China Univ. of Geosci., Wuhan, China
Abstract :
This paper, based on the characteristics of wavelet functions and edge detection, gives a multi-wavelet transformation mixed multilevel algorithm which is fit for multi-focus image fusion and Canny edge detection. The algorithm can improve the quality of multi-focus image fusion and enhance the fusion efficiency. It selects different wavelet functions to transform the wavelet dissection image levels and chooses high frequent coefficients from wavelet transformation by using Canny edge detection. The laboratory result shows that both the efficiency and quality of the image fusion are improved.
Keywords :
edge detection; image enhancement; image fusion; wavelet transforms; Canny edge detection; image enhancement; multifocus image fusion; multilevel image fusion; multiwavelet transformation; Algorithm design and analysis; Frequency; Geology; Image analysis; Image color analysis; Image edge detection; Image fusion; Information analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
DOI :
10.1109/CNMT.2009.5374650
