Feature-level image fusion technique based on wavelet transform

Zhigang Fan; Songling Fu; Runshun Li; Baojun Zuo

doi:10.1117/12.470952

20 September 2002 Feature-level image fusion technique based on wavelet transform

Zhigang Fan, Songling Fu, Runshun Li, Baojun Zuo

Proceedings Volume 4919, Advanced Materials and Devices for Sensing and Imaging; (2002) https://doi.org/10.1117/12.470952
Event: Photonics Asia, 2002, Shanghai, China

Abstract

The character of MRA (Multi-resolution Analysis) of wavelet transform can make the image be divided into different frequency spaces, so the image information in different frequency spaces can be processed and the features of the original image can be controlled. Wavelet transform is used widely in image compressing, edge detecting, noise filtering, image fusing etc. Based on Mallat fast algorithm in this paper, the noise of the image is filtered with threshold method after decomposing. Then the weighing operator and the comparing operator are applied for the image reconstructing, and feature-level image fusing is accomplished in practice. In contrast, it is better than the effect of other methods.

Citation Download Citation

Zhigang Fan, Songling Fu, Runshun Li, and Baojun Zuo "Feature-level image fusion technique based on wavelet transform", Proc. SPIE 4919, Advanced Materials and Devices for Sensing and Imaging, (20 September 2002); https://doi.org/10.1117/12.470952

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available