2002—2005年，Do等人提出了轮廓小波（Contourlet）变换和临界抽样轮廓小 波（criticallysampledcontourlet）变换旧’““。
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针对红外图像可视化程度弱、对比度低的问题，提出一种基于轮廓小波变换和区域能量的红外与可见光图像融合算法。
For visualization and contrast of IR images are weak, this paper proposed an algorithm for infrared and visible images fusion using wavelet-based contourlet transform (WBCT) and region energy.
在算法中，小波滤波器直接修正重建滤波器，重建得到各种细节图像，并能快速地得到重建图像的轮廓。
The filters of reconstruction are revised directly by wavelet filters in this algorithm and the reconstruction gives us various detail images and coarse images very quickly.
提出了两种在相位轮廓术中使用离散小波变换提取条纹相位的方法：单次分解法和多次分解法。
Two approaches, single decomposition approach and multi-decomposition approach, using discrete wavelet transform for extracting phase in phase profilometry are proposed.
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