DocumentCode
2988399
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
fYear
2009
fDate
18-20 Jan. 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5272-9
Type
conf
DOI
10.1109/CNMT.2009.5374650
Filename
5374650
Link To Document