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decomp_reconst_W
Decompose image into subbands, denoise using BLS-GSM method, and recompose again.
fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig)
im: image
Nsc: number of scales
filter: type of filter used (see namedFilters)
block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood
noise: signal with the same autocorrelation as the noise
parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood
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 a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero).
JPM, Univ. de Granada, 3/03
- 2010-08-14 20:26:17下载
- 积分：1
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matlab
matlab教程,来自于罗建军老师,正在学matlab的不妨下载来看看(matlab tutorials, the teacher from the Luo Jianjun)
- 2010-12-26 20:29:02下载
- 积分：1
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MACH2
viet nam electronic and telecommunications technology joint stock company
- 2011-01-25 22:22:45下载
- 积分：1
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corner_detect_hough_transform
image processing corner_detect_hough_transform
- 2013-01-01 00:15:39下载
- 积分：1
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20103112_homework2
Add, remove, subtract, attach polynomials
- 2015-01-13 15:33:46下载
- 积分：1
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unwrap2_m
最小二乘法展開速度快的相位展開,很好的相位展開法(Least mean square method phase unwrapping)
- 2015-02-04 22:30:57下载
- 积分：1
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Quantity_SNR_Compare
均匀量化和非均匀量化在性能上存在着显著的差异，这种差异可以用信号通过量化器后的量躁比来反映出来。本程序用曲线表示了理论和实际两个方面下两种量化的量躁比。从而可观察他们的性能上的差别。(There are significant differences with the function between Uniform quantization and non-uniform quantization ,which can be quantified by SNR from the quantizer.This program use the curves to denote the SNR of theory and practical signal.Then we can observe the performance of the differences.)
- 2009-11-10 15:55:41下载
- 积分：1
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PSK8_MOMENTS_new
calculating coefficients
- 2009-06-09 15:41:36下载
- 积分：1
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exercise2
matlab source code of RLS LS FS BE
- 2010-04-11 17:20:20下载
- 积分：1
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PCA_Thesis_USM
In order to fulfill the implementation of this project there are three main objectives that need to be achieved:
1. To learn and apply a technique for object recognition for single and multiface detection.
2. To examine the principal component analysis (PCA) performance in multiface detection system.
3. To learn and use MATLAB to develop an intelligent system using Image processing tools.
- 2012-06-21 22:52:09下载
- 积分：1
