文件名称:decomp_reconst_full
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Decompose image into subbands, denoise, and recompose again.
fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig)
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0)
sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise)
Version using the Full steerable pyramid (2) (High pass residual
splitted into orientations).
JPM, Univ. de Granada, 5/02
Last Revision: 11/04
- Decompose image into subbands, denoise, and recompose again.
fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig)
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0)
sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise)
Version using the Full steerable pyramid (2) (High pass residual
splitted into orientations).
JPM, Univ. de Granada, 5/02
Last Revision: 11/04
fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig)
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0)
sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise)
Version using the Full steerable pyramid (2) (High pass residual
splitted into orientations).
JPM, Univ. de Granada, 5/02
Last Revision: 11/04
- Decompose image into subbands, denoise, and recompose again.
fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig)
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0)
sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise)
Version using the Full steerable pyramid (2) (High pass residual
splitted into orientations).
JPM, Univ. de Granada, 5/02
Last Revision: 11/04
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下载文件列表
decomp_reconst_full.m