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基于方向可调的不可分离小波框架变换图像融合检测方法
引用本文:王婷,胡若澜.基于方向可调的不可分离小波框架变换图像融合检测方法[J].计算机与数字工程,2014(7):1169-1171.
作者姓名:王婷  胡若澜
作者单位:华中科技大学自动化学院智能科学与技术系多谱信息处理技术重点实验室,武汉430074
摘    要:针对复杂的中长波红外图像的特点,论文提出了一种基于方向可调的不可分离小波框架变换红外图像融合检测方法。首先,对图像进行不可分离小波变换分解,提取两幅图像的低频和高频,分别对高频和低频信息进行融合,并用逆变换重构成融合后的图像。对融合后的图像进行目标检测得出最终结果。实验结果表明文中提出的方法优于仅用长波或中波红外图像的目标检测。

关 键 词:红外图像  小波框架变换  图像融合  目标检测

Image Fusion Detection Based on Adjustable and Non-separable Wavelet Frame Transform
WANG Ting,HU Ruolan.Image Fusion Detection Based on Adjustable and Non-separable Wavelet Frame Transform[J].Computer and Digital Engineering,2014(7):1169-1171.
Authors:WANG Ting  HU Ruolan
Affiliation:(Science and Technology on Multi-spectral Information Processing Laboratory, School of Automation, Huazhong University of Science and Technology, Wuhan 430074)
Abstract:According to the features of mid/long-wave infrared image ,this paper puts forward a fusion detection meth-od based on wavelet frames transform .First ,Low-frequency and high-frequency information are extracted from original mid/long-wave image using wavelet frames .High-frequency and low-frequency information fusion independently ,and reconstruct fused images by wavelet frames transform .The final target detection of the fused images obtain the final result .This paper shows that this method is better than using only long wave or medium wave infrared image detecting targets .
Keywords:infrared image  wavelet frame transform  image fusion  target detection
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