Earticle

초록

영어

Wavelet transform has many good characteristics, used extensively in image fusion. In recent years, many algorithms have been developed, but there exist some inherent defects such as image blur, burr phenomenon, zigzag boundaries and image discontinuity. In this theory, without considering disadvantages of HVS, especially fused image should preserve brightness and texture features which are the most sensitive to eye, so a new algorithm combining them is proposed. Firstly, by calculating brightness and texture metrics in different wavelet decomposition subimages. And then, by using root mean square rule to get fused low frequency and high frequency coefficients respectively. Finally, performing inverse wavelet transform by the concatenation of low frequency and high frequency to gain fused image. In order to evaluate different algorithms, the assessment metric based on HVS is adopted, which is a more comprehensive and effective measure. Experiments merging IKONOS Pan image(resolution is 1 meter) with multispectral image (resolution is 4 meter) show that the proposed algorithm is the best on brightness, contrast, texture, definition, resolution, object edge regardness of visual effect and objective metric, also verifing human visual characteristic to be considered in image fusion.

목차

Abstract
 1. Introduction
 2. Proposed Method
  2.1 Wavelet based Image Fusion
  2.2 Wavelet based Image Fusion Considering HVS
  2.3 Fusion Rule based on HVS
  2.4 Evaluation Metric of Fused Image
 3. Experiments and Analysis
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Hui Lin [ School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, P.R.China, Department of Geography, University of South Florida, Tampa, FL, 33620, USA ]
• Yanfeng Tian [ School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, P.R.China ]
• Ruiliang Pu [ School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, P.R.China ]
• Liang Liang [ School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, P.R.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