HyperSpectralDenoising.zip
This code contain two algorithms namely: General Synthesis Prior (GSP) and General Analysis Prior(GAP) for reducing impulse noise from hyperspectral images.
These algorithms utilizes both spatial and spectral correlation.
GSP algorithm uses Daubechies wavelet for spatial dimension and Fourier transform for vertical dimension.
GAP algorithm is based on total variation minimization.
SPARCO toolbox (freely available from : http://www.cs.ubc.ca/labs/scl/sparco/) is required to run the code.
인용 양식
Hemant Kumar Aggarwal (2024). HyperSpectralDenoising.zip (https://www.mathworks.com/matlabcentral/fileexchange/46988-hyperspectraldenoising-zip), MATLAB Central File Exchange. 검색됨 .
MATLAB 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux카테고리
- Signal Processing > Wavelet Toolbox > Denoising and Compression >
- Signal Processing > Wavelet Toolbox > Filter Banks >
- Image Processing and Computer Vision > Computer Vision Toolbox > Point Cloud Processing > Display Point Clouds >
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버전 | 게시됨 | 릴리스 정보 | |
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1.0.0.0 |