Code covered by the BSD License
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adjust_psnr(W,ptgt,vmax)
adjust_psnr - adjust noise level to fit psnr
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array_set_val( x, ind, v )
array_set_val - set a value in a multidimensional array using a vector for the index
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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_conv_matrix(x)
compute_conv_matrix - compute a circular convolution matrix.
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compute_cubic_spline(x,n)
compute_cubic_spline - evaluate the nth derivative of the cubic spline.
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compute_dct_matrix(w, ndims)
compute_dct_matrix - compute the DCT matrix for a discrete cosine transform.
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compute_diffusion_distance(x,...
compute_diffusion_distance - compute the diffusion distance
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compute_distance_matrix(X,x)
compute_distance_matrix - compute pairwise distance matrix.
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compute_distance_to_points(X,...
compute_distance_to_points - compute euclidean distance to a set of points.
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compute_entropy(M,T)
compute_entropy - compute the entropy of a signal
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compute_error_threshold(y,T);
compute_error_threshold - compute the error for an approximation in an orthogonal basis.
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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_grad(M,options)
compute_grad - compute the gradient of an image using central differences
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compute_histogram(M, options)
compute_histogram - compute the (symmetric) histogram of a vector after threshold.
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compute_histogram_distance(H,...
compute_histogram_distance - compute distance between histograms
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compute_histogram_rbf(f, sigm...
compute_histogram_rbf - parzen windows density estimation
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compute_hufftree(p)
compute_hufftree - build a huffman tree
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compute_impulse_noise(M,p,sig...
compute_impulse_noise - add impulse noise to an image
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compute_kurtosis(x, center_me...
compute_kurtosis - compute the Kurtosis.
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compute_laplacian_distributio...
compute_laplacian_distribution - compute a laplacian distribution
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compute_laplacian_matrix(n,op...
compute_laplacian_matrix - compute the laplacian matrix
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compute_mutual_information(h)
compute_mutual_information - compute mutual information of two random variables
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compute_pairwise_histogram(f,...
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compute_rbf(x,d,xi, name)
solve for weights
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compute_rigidity_tensor(M,opt...
compute_rigidity_tensor - compute the rigidity
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compute_skewness(x,center_mea...
compute_skewness compute the Skewness.
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compute_structure_tensor(M,si...
compute_structure_tensor - compute the structure tensor
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compute_symmetric_conditional...
compute_symmetric_conditional_histogram - compute a symmetric histogram
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crop(M,n,c)
crop - crop an image to reduce its size
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dirac(s,n)
dirac - dirac function.
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gen_brownian_motion(n,d,sigma...
gen_brownian_motion_1d - generate a 1D brownian motion
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getoptions(options, name, v, ...
getoptions - retrieve options parameter
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imageplot(M,str, a,b,c)
imageplot - diplay an image and a title
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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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peform_wiener_filtering(x0,x,...
peform_wiener_filtering - perform Wiener filtering
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perform_arithmetic_coding(x,d...
perform_arithmetic_coding - perform adaptive arithmetic coding
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perform_best_dct(x,dir,option...
perform_best_dct - compute a best local DCT.
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perform_chirpz_transform(x,z)
perform_chirpz_transform - compute the chirp Z-transform
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perform_classical_mds(D,ndims...
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perform_conditional_histogram...
compute_conditional_histogram - compute conditional histograms
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perform_convolution(x,h, boun...
perform_convolution - compute convolution with centered filter.
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perform_dct2_transform(x,dir,...
perform_dct2_transform - perform the DCT2 transform
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perform_dct_transform(x,dir)
perform_dct_transform - discrete cosine transform
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perform_histogram_equalizatio...
perform_histogram_equalization - perform histogram equalization
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perform_histogram_matching(x,...
perform_histogram_matching - match the histogram of two image.
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perform_huffcoding(x,T,dir)
perform_huffcoding - perform huffman coding
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perform_kmeans(X,nbCluster,op...
perform_kmeans - perform the k-means clustering algorithm.
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perform_laplacian_fitting( h,...
perform_laplacian_fitting - compute the parameter for a laplcian distribution
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perform_moment_equalization(x...
perform_kurtosis_equalization - equalize moments of order 1,2,3,4.
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perform_noise_estimation(x)
perform_noise_estimation - estimate additive noise level
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perform_quantization(x, T, di...
perform_quantization - perform a quantization of the signal with double zero bin.
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perform_rbf_interpolation(Xi,...
perform_rbf_interpolation - scattered data interpolation
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perform_rle_coding(x, dir, op...
perform_rle_coding - perform run length coding of a 1D sequence
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perform_shannon_estimation(M,...
evaluate_nbr_bits - evaluate the number of bits to code a signal
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perform_shannon_interpolation...
perform_shannon_interpolation - spectral interpolation
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perform_spectral_orthogonaliz...
perform_spectral_orthogonalization - orthogonalize a square matrix
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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_tensorial_transform(x...
tensorial_transform - compute tensorial multiplication
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perform_thresholding(x, t, ty...
perform_thresholding - perform hard or soft thresholding
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perform_vector_quantization(a...
perform_vector_quantization - perform the quantization of a matrix
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perform_vf_normalization(v1)
perform_vf_normalization - renormalize a vf.
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perform_walsh_transform(x)
perform_walsh_transform - 1D and 2D walsh transform
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plot_best_basis(x, btree, sty...
plot_best_basis - plot a best local DCT basis
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plot_hufftree(T,p)
plot_hufftree - plot a huffman tree
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plot_scattered(pos,z, resc)
plot_scattered - plot 2D scattered data using triangulation.
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plot_tensor_field(H, M, sub)
plot_tensor_field - display a tensor field
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prod_tf_sf(A,B)
prod_tf_sf - compute the product of 2 tensor fields
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prod_tf_sf(T1,s)
prod_tf_sf - compute the product of a tensor field by a scalar field.
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prod_tf_vf(t,v)
prod_vf_vf - compute the product of a tensor field and a vector field.
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prod_vf_sf(v1,s)
prod_vf_sf - compute the product of a vector field by a scalar field.
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prod_vf_vf(v1,v2)
prod_vf_vf - compute the dot product of 2 vector field.
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psnr(x,y, vmax)
psnr - compute the Peack Signal to Noise Ratio
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publish_html(filename, output...
publish_html - publish a file to HTML format
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rand_discr(p, m)
rand_discr - discrete random generator
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rescale(x,a,b)
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snr(x,y)
snr - signal to noise ratio
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compile_mex.m
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test_arithfixed.m
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test_arithmetic_coder.m
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test_convolution.m
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test_filter.m
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test_histo_equalization.m
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test_histogram_interpolation.m
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test_huffman.m
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test_plot_dct.m
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test_rbf_1d.m
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test_rbf_2d.m
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test_rle.m
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test_vector_huff.m
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test_vq.m
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View all files
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| File Information |
| Description |
toobox_signal - signal processing related functions.
This toolbox contains functions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT.
* Various helpers functions.
Copyright (c) 2007 Gabriel Peyre |
| MATLAB release |
MATLAB 7 (R14)
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| Comments and Ratings (2) |
| 29 Jul 2004 |
vijay gupta
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| 08 Dec 2006 |
Laura Vargas
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| Updates |
| 08 May 2006 |
Bug fixes. |
| 19 Jun 2006 |
Added arithmetic coders, RBF interpolation, best DCT basis, reorganized the toolbox. |
| 27 Apr 2007 |
GPL license. |
| 02 Sep 2007 |
Split between image and signal toolboxes. |
| 25 Jun 2009 |
BSD Licence |
| 27 Jun 2009 |
Update of Licence |
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