BROWSE
Detail
Conference Paper
Image Fusion Using Multiresolution Analysis
Cited - time in 
Share 
Share
- Authors
- Jong-Hyun Park, Kyoung-Ok Kim, Young-Kyu Yang
- Issue Date
- 2001-07
- Citation
- International Geoscience and Remote Sensing Symposium (IGARSS) 2001, pp.864-866
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- The objective of this study is to propose multiresolution data fusion scheme using multiresolution analysis (MRA). Three techniques compared, respectively based on Haar wavelet basis (HWB), Daubechies wavelet basis (DWB), and IHS transform. Daubechies Wavelet Basis (DWB) is far more efficient than the HWB and IHS transform, thus establishing the advantages for data fusion of formally multiresolution analysis. DWB is best image sharpening and maintain the information of original data. Especially, Daubechies wavelet basis is able to enhance image sharpening and preserve spectral information
- KSP Keywords
- Data fusion, Daubechies wavelet basis, HAAR wavelet, IHS transform, Image Sharpening, Image fusion, Multiresolution Analysis, Spectral information, fusion scheme