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一种基于小波变换的图像融合选择方案
引用本文:童明强,季玲玲.一种基于小波变换的图像融合选择方案[J].江汉大学学报(自然科学版),2007,35(3):19-21,38.
作者姓名:童明强  季玲玲
作者单位:1. 武汉科技大学,应用物理系,武汉,430081
2. 华中科技大学,武汉国家光电实验室,武汉,430074
摘    要:介绍了一种基于小波变换的图像融合算法,它利用像素邻域平均梯度作为选择依据,对小波变换后的高频系数进行选择,再逆变换完成图像融合.通过对红外热图与可见光图像的融合实验表明:基于小波系数区域平均梯度的融合能使红外热图更加清晰,融合的图像光谱变异性较小,图像效果较好.

关 键 词:图像融合  小波变换  平均梯度  标准差
文章编号:1673-0143(2007)03-0019-03
修稿时间:2006-08-31

A Selecting Scheme of Image Fusion Algorithm Based on Wavelet Transform
TONG Ming-qiang,JI Ling-ling.A Selecting Scheme of Image Fusion Algorithm Based on Wavelet Transform[J].Journal of Jianghan University:Natural Sciences,2007,35(3):19-21,38.
Authors:TONG Ming-qiang  JI Ling-ling
Institution:1. Department of Optic-electricity, Wuhan University of Science and Technology, Wuhan 430081, China; 2. Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:An image fusion algorithm based on wavelet transform is introduced, it chooses the high-frequency coefficient after wavelet transform according to average gradient of local area of resolution, and then complete the image fusion by reverse transform. The experiment results of fusion of visible image and infrared image demonstrate the algorithm can enhance infrared image definition, reduce fusion image variability, and increase fusion image definition.
Keywords:image fusion  wavelet transform  average gradient  standard deviation
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