Earticle

초록

영어

In recent years, with the development of compressive sensing (CS) theory, it has been widely applied to each field including image fusion, and obtained better fusion effect. And CS can reduce dimensions and the amount of data characteristics as well as the large amount and high computation complex. Therefore, this paper proposes a novel medical image fusion method based on compressive sensing theory in non-subsampled contourlet transform (NSCT) domain. First, NSCT transform is applied to the source images, and the coefficients in low frequency subband are fused by mean rules. For high frequency subband, CS is applied and the coefficients are fused by neighborhood-energy-MAX (NE-MAX) rule, then inverse CS is used to get fused coefficients. Finally, inverse NSCT is applied to get the reconstructed image. The experimental results show that the fusion algorithm proposed in this paper is superior to fusion method based on WT-MAX and CS-MAX、CS-MEAN.

목차

Abstract
 1. Introduction
 2. Theory of NSCT
 3. Principle of CS
  3.1 Compressed Sensing Process
  3.2. Reconstruction Algorithm
 4. Image Fusion in NSCT Domain
  4.1 Fusion of Low Frequency Subband
  4.2 Fusion of High Frequency Subband
 5. Experiments and Results Analysis
 6. Conclusion
 References

키워드

저자

• AiliWang [ Higher Education Key Lab for Measuring & Control Technology and Instrumentations of Heilongjiang, Harbin, China ]
• Jiaying Zhao [ Higher Education Key Lab for Measuring & Control Technology and Instrumentations of Heilongjiang, Harbin, China ]
• Yuji Iwahori [ Dept. of Computer Science, Chubu University, Japan ]
• Shiyu Dai [ Higher Education Key Lab for Measuring & Control Technology and Instrumentations of Heilongjiang, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605