基于形态学和平均梯度的小波图像融合算法  

Wavelet Image Fusion Algorithm Based on Morphology and Average Grads

作　　者：李莹[1] 朱文艳[1] 袁飞[1] 冯少彤[1] 聂守平[1] 

机构地区：[1]南京师范大学江苏省光电技术重点实验室,江苏南京210023

出　　处：《南京师范大学学报（工程技术版）》2013年第4期76-81,共6页Journal of Nanjing Normal University(Engineering and Technology Edition)

基　　金：江苏省高校自然科学基金(09KJA140002);江苏省自然科学基金(BK2009400)

摘　　要：提出了一种基于形态学和平均梯度的小波图像融合算法.其基本思想是利用形态学对图像预处理,再对各图像进行小波变换,对低频部分根据分块后各子块的平均梯度和局部能量,按照一定规则选择融合系数;高频部分采取最大系数法选择融合系数.最后进行小波逆变换得到融合图像.实验结果表明,该算法能显著改善融合图像的视觉效果.This paper proposes a novel image fusion algorithm based on morphology and average grads in the area of wavelet. The basic idea is to perform image pre-processing by morphology first,and then to decompose the image into low-frequency component and high-frequency component through wavelet transformation. The average-grads and partial energy within the low-frequency are measured to determine the fused low-frequency component,and select the maximal absolute values in high-frequency coefficients to be the fused high-frequency component. Finally,the fusion image is reconstructed by wavelet inverse transform. Experimental results indicate that the algorithm remarkably improves the visual effect of the fused image.

关 键 词：图像融合 形态学 小波变换 平均梯度 局部能量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]