测绘通报 ›› 2017, Vol. 0 ›› Issue (9): 42-45.doi: 10.13474/j.cnki.11-2246.2017.0284

• 学术研究 • 上一篇    下一篇

一种基于小波变换的图像融合方法

谭仁龙   

  1. 华中光电技术研究所武汉光电国家实验室, 湖北 武汉 430223
  • 收稿日期:2017-01-11 出版日期:2017-09-25 发布日期:2017-10-12
  • 作者简介:谭仁龙(1989-),男,硕士,助理工程师,主要研究方向为摄影测量与遥感.E-mail:rltan@whu.edu.cn
  • 基金资助:
    国家重点研发计划重点专项(2016YFC0802600)。

An Image Fusion Algorithm Using Wavelet Transform

TAN Renlong   

  1. Wuhan National Laboratory for Optoelectronics, Huazhong Institute of Electro Optics, Wuhan 430223, China
  • Received:2017-01-11 Online:2017-09-25 Published:2017-10-12

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。

关键词: 小波变换, 方向对比度, 影像融合, 质量评价

Abstract: 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.

Key words: wavelet transform, directional contrast, image fusion, quality evaluation

中图分类号: