An Optimal Color Image Fusion Approach Based on Quantitative Evaluation Indexes

Author

Xiao, Gang ; Wu, Jianmin ; Jing, Zhongliang

Author_Institution

Inst. of Aerosp. Sci. & Technol., Shanghai Jiaotong Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10302

Lastpage

10305

Abstract

The fusion technology of multi-sources images is important for spatial information applications, such as digital city. In order to keep the spectral information and spatial information in the process of multi-sources spatial images fusion, an optimal image fusion method based on quantitative evaluation indexes is proposed in this paper. In IHS (intensity, hue and saturation) transform space, the feature image of high frequency of intensity component I is fused with multi-resolution wavelet. And the low frequency of intensity component I is fused on pixel level with optimal weight coefficients. Spectral information index E_SP and spatial resolution index AG are used to adjust the fusion rule and achieve the optimum weight. The test results with QuickBird data show the effectiveness of presented method

Keywords

image colour analysis; sensor fusion; wavelet transforms; IHS transformation; hue; intensity; multiresolution wavelet; multisources spatial image fusion; optimal color image fusion; quantitative evaluation indexes; saturation; spectral information index; Cities and towns; Frequency; Image color analysis; Image fusion; Multispectral imaging; Principal component analysis; Remote sensing; Space technology; Spatial resolution; Wavelet transforms; IHS transformation; Image fusion; Optimal fusion; Quantitative evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714019

Filename

1714019