Wavelet fusion method based on local energy and local entropy

Zhicheng Wang; Yan Tian; Jian Liu; Jinwen Tian

doi:10.1117/12.633205

24 June 2005 Wavelet fusion method based on local energy and local entropy

Zhicheng Wang, Yan Tian, Jian Liu, Jinwen Tian

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596059 (2005) https://doi.org/10.1117/12.633205
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

A new wavelet fusion method based on local energy and local entropy is presented. First, multiresolution decomposition of source images are obtained by discrete wavelet transform. Second, the corresponding sub-band images by using different rules are fused, that is, the method based on local energy is used in low frequency components while high frequency components including horizontal, vertical and diagonal details are fused by local entropy. Finally, the fused image is obtained by inverse discrete wavelet transform. This method is tested by fusing two groups of images from the same scene. One group is the images with different parts focused by Gaussian blur, while the other is visible light image and far-infrared image. The experimental results prove the novel method to be applicable, efficient and promising.

Citation Download Citation

Zhicheng Wang, Yan Tian, Jian Liu, and Jinwen Tian "Wavelet fusion method based on local energy and local entropy", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596059 (24 June 2005); https://doi.org/10.1117/12.633205

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