Earticle

초록

영어

As a novel multi-scale geometrical analysis theory, non-subsampled shearlet transform (NSST) own much better competences of image processing. An adaptive technique for image fusion based on NSST-spatial frequency (SF)-human visual factor (HVF) is proposed in this paper. Each source image can be converted into corresponding multi-scale and multi-directional frameworks via NSST. SF and HVF are utilized to conduct the fusion courses of low-frequency and high-frequency sub images, respectively. Besides, an adaptive fusion algorithm based on NSST is devised. Finally, the final fused image can be obtained by using inverse NSST. Simulation experimental demonstrates that, compared with other classic techniques, the proposed technique has much better performance in terms of visual performance and information capturing.

목차

Abstract
 1. Introduction
 2. NSST Basic Model
 3. Image adaptive fusion frame based on NSST
  3.1. Low-Frequency Microcosmic Subband Image Fusion
  3.2. High-Frequency Microcosmic Subband Image Fusion
 4. Proposed Technique
 5. Experimental Results and Analysis
  5.1. Experimental Condition
  5.2. Experimental Results and Analysis
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• NIU Ling [ Zhou Kou Normal University, Zhoukou 466001, China ]
• FENG Gao-feng [ JiYuan Vocational And Technical College, JiYuan Henan 454650, China ]

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