Image fusion based on addition of wavelet coefficients

被引：0

作者：

Chang, Hua-Wen ^{[1
]}

Lan, Shu-Duo ^{[2
]}

机构：

[1] Sichuan Univ, Coll Comp Sci, Chengdu 610064, Peoples R China

[2] Guilin Inst Technol, Dept Elect & Comp Sci, Guilin 541004, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

image fusion; HSV; wavelet transform; remote sensing;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A new wavelet-based approach to image fusion, which is based on HSV color space and addition of wavelet coefficients, is proposed. The new fusion method can keep more spatial information and spectral information. The process is as follows: Converting the mult-spectral image into HSV (Hue, Saturation, and Value) color space by HSV, transform; formalizing the V component into two types, one is in the range of [0, 1] the other is in the range of [0, 255], then decomposing these two different V components and panchromatic image by wavelet transfor: merging the wavelet coefficients by means of Addition Strategy after decomposition: finally, obtaining the fused image by wavelet reconstruction and inverse HSV transform. Experimental results show that the new method is better than generic wavelet-based fusion rule rule.

引用

页码：1585 / +

页数：2