Assessment method to fusion effect based on structural similarity comparison in fusion images

Yong Zhang; Weiqi Jin; Rui Xue

doi:10.1117/12.866763

20 August 2010 Assessment method to fusion effect based on structural similarity comparison in fusion images

Yong Zhang, Weiqi Jin, Rui Xue

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782021 (2010) https://doi.org/10.1117/12.866763
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

Image fusion can integrate several images of the same scene captured by several different sensors with different features and resolutions at different time into one image. Research on quality assessment of fusion images is meaningful for image processing course in order to improve the registration technology and fusion algorithm. Structural similarity metric describes differences between two images by means of three variables, luminance, contrast, and spatial similarity, which show the better evaluating capability than others objective metrics. A new assessment method to fusion effect based on structural similarity comparison among fusion images is provided in paper. Fusion algorithms including weighing method, principal component analysis, different pyramid methods and multi-resolution wavelet filtering is used to create fusion images. Then the mutual structural similarity metric among fusion images obtained by different fusion algorithms is used to evaluate the fusion effect. In some extent, the low structural similarity comparison denotes the low quality fusion effect. Meanwhile, the experiment show also the fusion effect determined by structural similarity comparison is accordant with the subjective evaluation. Besides, the experiment explain the method based on different pyramid methods and multi-resolution wavelet filtering have the better fusion effect than weighing method and principal component analysis method. Furthermore, the experiment also prove the whole image fusion system should choose the different fusion algorithm to adjust to the different task requirement and applied circumstance in order to acquire the optimum scene interpreting effect.

Citation Download Citation

Yong Zhang, Weiqi Jin, and Rui Xue "Assessment method to fusion effect based on structural similarity comparison in fusion images", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782021 (20 August 2010); https://doi.org/10.1117/12.866763

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