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计算机工程 ›› 2007, Vol. 33 ›› Issue (10): 25-27. doi: 10.3969/j.issn.1000-3428.2007.10.009

• 博士论文 • 上一篇    下一篇

二维二通道小波的构造与图像融合应用

刘 斌1,彭嘉雄2   

  1. (1. 湖北大学数学与计算机科学学院,武汉 430062;2. 华中科技大学图像识别与人工智能研究所,武汉 430074)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-05-20 发布日期:2007-05-20

Construction of Two-dimensional Two-channel Wavelets and Its Application in Image Fusion

LIU Bin1, PENG Jiaxiong2   

  1. (1. School of Mathematics and Computer Science, Hubei University, Wuhan 430062; 2. Institute of Image Recognition & Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-05-20 Published:2007-05-20

摘要: 提出了一类新的二维二通道小波的一种构造方法,并把此类小波应用于图像融合中,提出了利用小波分解后的低频子图像的梯度图对高频子图像进行融合的图像融合算法,并采用熵、均方根误差等指标对融合结果图像进行了评价。实验结果表明,该方法有较好的视觉效果。其融合性能好于采用相同融合算法的基于张量积四通道小波的融合方法,并能节约50%的运算量。

关键词: 图像融合, 二维二通道小波, 梯度图

Abstract: A construction method of two-dimensional two-channel wavelets is presented. An image fusion method based on this wavelet is proposed. This fusion method uses the gradient map of low-frequency sub-image to merge high-frequency sub-images. The performance of the method is evaluated using the Entropy, error of mean square root. The experiment results show that the method is effective. The performance is better than the fusion method based on separable four-channel wavelets and the amount of computation is reduced to a half of the latter. This method can be used to merge many kinds of image.

Key words: Image fusion, Two-dimensional two-channel wavelets, Gradient map

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