Code covered by the BSD License
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[p,ellipse]=phantom(varargin)
PHANTOM Generate a head phantom image.
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b=dct(a,n)
DCT Discrete cosine transform.
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b=dct2(arg1,mrows,ncols)
DCT2 Compute 2-D discrete cosine transform.
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cat3(d, a,b)
cat3 - synonymous with cat
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cconv(x,h,d)
cconv - spatial domain circular convolution
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cell_add(A,B,a,b)
cell_add - add two cell arrays
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cell_get(x,i)
cell_get - get value
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cell_set(x,i,v)
cell_set - assign value
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cell_sub(x,sel)
cell_sub - extract a sub-cell array
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clamp(x,a,b)
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compute_conditional_histogram...
compute_conditional_histogram - compute conditional histograms
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compute_entropy(M,T)
compute_entropy - compute the entropy of a signal
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compute_gaussian_filter(n,s,N...
compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
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compute_histogram(M, options)
compute_histogram - compute the (symmetric) histogram of a vector after threshold.
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compute_hufftree(p)
compute_hufftree - build a huffman tree
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compute_l2err(MF, donormalize...
compute_l2err - non linear approximation error
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compute_max(X,d)
compute_max - compute maximum along dimension d
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compute_min(X,d)
compute_min - compute min along dimension d
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compute_quadsel(j,q, options)
compute_quadsel - compute the indices for selecting subband of a wavelet transform.
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compute_shape_boundary(M)
compute_shape_boundary - extract boundary points of a shape
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compute_total_variation(y, op...
compute_total_variation - compute the total variation of an image
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compute_wavelet_filter(Type,P...
compute_wavelet_filter - Generate Orthonormal QMF Filter for Wavelet Transform
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crop(M,n,c)
crop - crop an image to reduce its size
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det3(A)
det3 - 3x3 determinant
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div(Px,Py, options)
div - divergence operator
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extend_stack_size(mult)
does nothing
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gamrnd(a,b,m,n);
GAMRND Random matrices from gamma distribution.
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getoptions(options, name, v, ...
getoptions - retrieve options parameter
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grad(M, options)
grad - gradient, forward differences
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huffman_gencode(T)
huffman_gencode - generate a code associated to a Hufmann tree T
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idct(b,n)
IDCT Inverse discrete cosine transform.
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idct2(arg1,mrows,ncols)
IDCT2 Compute 2-D inverse discrete cosine transform.
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image_resize(M,p1,q1,r1)
image_resize - resize an image using bicubic interpolation
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imageplot(M,str, a,b,c)
imageplot - diplay an image and a title
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iradon(varargin)
IRADON Compute inverse Radon transform.
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load_image(type, n, options)
load_image - load benchmark images.
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load_signal(name, n, options)
load_signal - load a 1D signal
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load_sound(name, n0, options)
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mad(x,flag)
MAD Mean/median absolute deviation.
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make_sparse(i,j,x)
make_sparse - synonymous with sparse(i,j,x)
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max3(x,v)
max3 - synonymouse with max
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nb_dims(x)
nb_dims - debugged version of ndims.
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peform_wiener_filtering(x0,x,...
peform_wiener_filtering - perform Wiener filtering
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perform_arith_coding(xC, dir)
perform_arithmetic_coding_slow - perform adaptive arithmetic coding
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perform_arith_fixed(x, h, n)
perform_arith_fixed - arithmetic coding
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perform_blurring(M, sigma, op...
perform_blurring - gaussian blurs an image
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perform_cg(A,y,options)
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perform_convolution(x,h, boun...
perform_convolution - compute convolution with centered filter.
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perform_faces_reorientation(v...
perform_faces_reorientation - reorient the faces with respect to the center of the mesh
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perform_haar_transf(f, Jmin, ...
perform_haar_transf - peform fast Haar transform
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perform_hist_eq(x,y,options)
perform_histogram_equalization - perform histogram equalization
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perform_homotopy(D,y,options)
perform_homotopy - compute the L1 regularization path
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perform_huffcoding(x,T,dir)
perform_huffcoding - perform huffman coding
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perform_median_filtering(M,k)
perform_median_filtering - perform moving average median
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perform_omp(D,Y,options)
perform_omp - perform orthogonal matching pursuit
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perform_saturation(x,tau,use_...
perform_saturation - saturate a vector for better contrast
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perform_stft(x, w,q, options)
perform_stft - compute a local Fourier transform
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perform_tensor_decomp(T,order...
perform_tensor_decomp - perform an eigendecomposition.
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perform_tensor_recomp(e1,e2,l...
perform_tensor_recomp - create the tensor field corresponding to the given eigendecomposition.
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perform_thresholding(x, t, ty...
perform_thresholding - perform hard or soft thresholding
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perform_tv_denoising(x,option...
perform_tv_denoising - denoising with TV minimization
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perform_wavelet_transf(x, Jmi...
perform_wavelet_transf - peform fast lifting transform
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perform_wavortho_transf(f,Jmi...
perform_wavortho_transf - compute orthogonal wavelet transform
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plot_dictionnary(D,X,nb, opti...
plot_dictionnary - display a dictionary of images
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plot_hufftree(T,p)
plot_hufftree - plot a huffman tree
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plot_levelset(M,t,A)
plot_levelset - display the level set of an image
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plot_sparse_diracs(x, options)
plot_sparse_diracs - plot sparse sets of diracs
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plot_spectrogram(S,f, options)
plot_spectrogram - display the spectrogram
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plot_vf(vf, M, options)
plot_vf - plot a vector field with
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plot_wavelet(M, Jmin, options...
plot_wavelet - plot 2D wavelet transform stored using Mallat's ordering.
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poissrnd(lambda,m,n)
POISSRND Random matrices from Poisson distribution.
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progressbar(n,N,w)
progressbar - display a progress bar
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psnr(x,y, vmax)
psnr - compute the Peack Signal to Noise Ratio
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r=binornd(n,p,mm,nn)
BINORND Random matrices from a binomial distribution.
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radon(IMG, THETA)
This MATLAB function takes an image matrix and vector of angles and then
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rand_discr(p, m)
rand_discr - discrete random generator
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read_bin(name,options)
read_bin - read bin file
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rescale(x,a,b)
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reverse(x)
flip a vector
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set_axis(v)
set_axis - draw axis on/off
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set_colormap(a)
set_colormap - set colors for display
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set_graphic_sizes(h,fs,lw)
set_graphic_sizes - enlarge the size of the fonts
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set_label(xstr,ystr,zstr)
set_label - set the label for a plot
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set_linewidth(h,lw)
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set_rand_seeds(a,b)
set_rand_seeds - initialize rand and randn
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snr(x,y)
snr - signal to noise ratio
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subsampling(x,d,p)
downsampling - subsampling along dimension d
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subselectdim(f,sel,d)
subselectdim - select along a dimension
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sum3(M,k)
for Scilab compatibility
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tet2tri(facet, vertex, keep_s...
tet2tri - convert a tet mesh to a tri mesh
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upsampling(x,d,p)
upsampling - add p zeros between samples along dimension d
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using_matlab()
using_matlab - return 1 for Matlab, 0 for Scilab
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write_bin(M, name)
write_bin - write a file to .bin format readable by scilab.
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batch_convert_bin.m
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1D Higher Order Wavelets
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2D Daubechies Wavelets
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Advanced Wavelet Thresholdings
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Color Image Processing
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Compressed Sampling
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Data Dependent Noise Models
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Denoising by Sobolev and Tota...
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Dictionary Learning
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Entropic Coding and Compressi...
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Image Approximation with Orth...
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Image Compression with Wavele...
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Image Denoising with Linear M...
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Image Denoising with Wavelets
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Inpainting using Sparse Regul...
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Multi-spectral Imaging
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Natural Images Statistics
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Non Local Means
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Outliers and Median Denoiser
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Reconstruction from Compressi...
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Reconstruction from Partial T...
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Signal Denoising with Wavelets
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Signal and Image Noise Models
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Sparse Deconvolution
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Sparse Spikes Deconvolution w...
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Sparse Spikes Deconvolution w...
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Variational Inpainting
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Video Coding
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Volumetric wavelet Data Proce...
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Wavelet Block Thresholding
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missing-exo.html
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View all files
from
A Numerical Tour of Signal Processing
by Gabriel Peyre
A set of Matlab experiments that illustrates advanced computational signal and image processing.
|
| All files for A Numerical Tour of Signal Processing |
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