Earticle

초록

영어

In order to obtain rapid fusion speed, an image fusion algorithm based on Non-subsampled Shearlet Transform (NSST) and Compressed Sensing (CS) is presented. The source images are decomposed with NSST. Based on local area energy, the low-frequency coefficients are fused. The high-frequency coefficients are compressed, fused and reconstructed with CS. Based on global gradient, the measurements of high-frequency coefficients are fused. The inverse NSST is used to get the final fused image. During the fusion course, only the compressed data of the high-frequency coefficients are fused, so the fusion effects can’t be affected. At the same time, the running time can be reduced. In this paper, the multi-focus images are used to verify the algorithm effectiveness. The simulation results indicate that the fusion image can be achieved without prior knowledge of the original images. Although the fusion quality is sacrificed when the sampling rate becomes higher, the algorithm can significantly reduce the time cost and hardware requirements. The algorithm provides an idea on how to satisfy the real time requirements in the fusion system.

목차

Abstract
 1. Introduction
 2. Backgrounds
  2.1. Non-subsampled Shearlet Transform
  2.2. Compressed Sensing
 3. Proposed Fusion Algorithm
  3.1. Fusion Framework
  3.2. Fusion Rules of the Low-Frequency Coefficients
  3.3. The Fusion of the High-Frequency Coefficients
 4. Experimental Results and Discussion
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• XING Xiaoxue [ College of Information Engineering, Changchun University, Changchun, 130022, China ]
• LI Jie [ College of Information Engineering, Changchun University, Changchun, 130022, China ]
• FAN Qinyin [ School of Engineering, Osaka University, Osaka, 5650871, Japan ]
• SHANG Weiwei [ College of Information Engineering, Changchun University, Changchun, 130022, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605