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一种基于小波变换的图像融合方法 被引量:9

An Image Fusion Algorithm Using Wavelet Transform
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摘要 针对传统基于方向对比度的小波变换融合方法所得结果局部区域清晰度不高的问题,本文在高低频分量的处理方法上作了改进,采用Tenunbaum梯度辅助增强图像的细节信息。试验结果表明,该方法所得融合结果边缘细节更清晰,信息量更大,融合效果较好。 Aiming at the problem that the clarity of some regions processed by traditional wavelet transform fusion method based on directional contrast is not high enough, some improvement with respect to the processing method of high and low frequency components have been achieved. For the sake of enhancing the detailed information of the images, the Tenunbaum gradient has been brought in. Experimental results show that edges of the fusion results are clearer by this means, and more information has been reserved by the way.
作者 谭仁龙 TAN Renlong(Wuhan National Laboratory for Optoelectronics, Huazhong Institute of Electro Optics, Wuhan 430223,Chin)
出处 《测绘通报》 CSCD 北大核心 2017年第9期42-45,共4页 Bulletin of Surveying and Mapping
基金 国家重点研发计划重点专项(2016YFC0802600)
关键词 小波变换 方向对比度 影像融合 质量评价 wavelet transform directional contrast image fusion quality evaluation
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