吉林大学学报(理学版) ›› 2019, Vol. 57 ›› Issue (1): 129-138.

• 计算机科学 • 上一篇    下一篇

多级方向引导滤波器及其在多传感器图像融合中的应用

陈广秋, 梁小伟, 段锦, 才华   

  1. 长春理工大学 电子信息工程学院, 长春 130022
  • 收稿日期:2017-11-29 出版日期:2019-01-26 发布日期:2019-02-08
  • 通讯作者: 才华 E-mail:caihua@cust.edu.cn

Multistage Directional Guided Filter and Its Applicationin Mult-sensor Image Fusion#br#

CHEN Guangqiu, LIANG Xiaowei, DUAN Jin, CAI Hua   

  1. School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • Received:2017-11-29 Online:2019-01-26 Published:2019-02-08
  • Contact: CAI Hua E-mail:caihua@cust.edu.cn

摘要: 基于多级方向引导滤波器, 提出一种图像多尺度几何分析方法, 并将其应用于多传感器图像融合中. 首先利用引导滤波器对图像进行多级边缘保持分解, 得到一个近似子带和多个不同尺度上的细节子带; 然后采用楔形小尺寸方向剪切滤波器对细节子带进行方向分析, 在不同尺度上生成多个方向子带, 根据近似子带和方向细节子带所具有的不同物理意义, 分别采用不同的融合准则对分解后的系数进行合并处理; 最后通过对合并后的系数进行简单的叠加计算获得重构图像. 该方法有效解决了在其他多尺度分解中滤波器缺乏自适应性和图像分析不具备平移不变性的问题. 多组图像融合实验结果表明, 在图像融合过程中, 该方法的性能优于已有的其他典型多尺度分解方法.

关键词: 图像融合, 引导滤波器, 边缘保持, 剪切滤波器, 融合准则

Abstract: We proposed an image multiscale geometrical analysis method based on multistage directional guided filter, and applied it to the multisensor images fusion. Firstly, using the guided filter, an approximate subband and some detail subbands at the different scales were obtained by multistage edgepreserving decomposition of the image. Secondly, directional analysis of 
detail subbands was carried out by using wedgeshaped small size directional shear filter, multiple directionalsubbands were generated at the different scales. According to the different physical meanings of approximate subbands and the directional detail subbands, the different fusion criteria were used to merge the decomposed coefficients respectively. Finally, the reconstructed image was obtained by simple superposition calculation of the merged coefficients. This method effectively solved the problems that filters lacked selfadaptability and image analysis did not have translation invariance in the other multiscale decomposition. The experimental results of multigroup image fusion show that the performance of this method is better than other typical multiscale decomposition methods in the process of image fusion.

Key words: image fusion, guided filter, edgepreserving, shear filter, fusion criterion

中图分类号: 

  • TP391.41