Channel scaling for rounding noise reduction in minimum lifting 3D wavelet transform

2015 ◽  
Author(s):  
Fairoza Amira Binti Hamzah ◽  
Taichi Yoshida ◽  
Masahiro Iwahashi ◽  
Hitoshi Kiya
Keyword(s):  
Wavelet Transform ◽  
Noise Reduction ◽  
3D Wavelet Transform

An Efficient Architecture of 1-D Discrete Wavelet Transform for Noise Reduction

2013 ◽  
Vol 5 (3) ◽  
pp. 412-419 ◽  
Author(s):  
ChinFa Hsieh ◽  
TsungHan Tsai ◽  
ChihHung Lai ◽  
ShuChung Yi
Keyword(s):  
Wavelet Transform ◽  
Noise Reduction ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet

Research on Fusion Approach for Hyperspectral Image and Multispectral Image of HJ-1A

2011 ◽  
Vol 356-360 ◽  
pp. 2897-2903
Author(s):  
Fen Fen Guo ◽  
Jian Rong Fan ◽  
Wen Qian Zang ◽  
Fei Liu ◽  
Huai Zhen Zhang
Keyword(s):  
Wavelet Transform ◽  
Spatial Resolution ◽  
Hyperspectral Image ◽  
3D Structure ◽  
Principal Component ◽  
Multispectral Image ◽  
Spectral Quality ◽  
Principal Component Transform ◽  
3D Wavelet Transform ◽  
Fusion Approach

The vacancy of hyperspectral image (HSI) in China is made up by HJ-1A satellite, which makes more study and application possible. But comparing with other HSI, low spatial resolution turns into a big limiting obstacle for application. In order to improve the HSI quality and make full use of the existing RS data, this paper proposed a fusion approach basing on 3D wavelet transform (3D WT) to fusing HJ-1A HSI and Multispectral image (MSI) using their 3D structure. Contrasting with the principal component transform (PCA) and Gram-Schmidt fusion approach, which are mature at present, 3D WT fusion approach use all bands of MSI to its advantage and the fusion result perform better in both spatial and spectral quality.

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