Sub-band Decomposition. Low-pass filter 0 deals with low frequencies ... P0 f is 'smooth' (low-pass), and can be efficiently represented using wavelet base. ...
seismic demigration/migration velocity estimation. Conclusions ... Demigration/migration. Sensitivity of the migrated result with respect to the velocity ...
Hidden Markov Tree Model. of the Uniform Discrete Curvelet ... Kurtosis=3.51 ~Gaussian. Hidden Markov Tree (HMT) Model. Conditional distribution is Gaussian ...
Wedgelets: A Multiscale Geometric Representation for Images Michael Wakin Rice University dsp.rice.edu Joint work with Richard Baraniuk, Hyeokho Choi, Justin Romberg
Martin Vetterli, 'Wavelets, approximation and compression: Beyond JPEG2000,' San ... Martin Vetterli, 'Fourier, wavelets and beyond: the search for good bases for ...
Title: Sparse Representations and the Basis Pursuit Algorithm Author: Michael Elad Last modified by: elad Created Date: 10/21/2002 9:14:30 PM Document presentation format
Bayesian framework: MAP estimate X as Markov Random Field (MRF) - Gibbs distribution for X Anisotropic prior terms log-Euclidean TV edge preserving priors in space
Fit Sketch Model on S (ignoring c and e) Math representations of sketch. List: Bit-map: Causal model for sketch. Pairwise interactions. Soatto,Doretto,Wu, ICCV 2001 ...
Our dream for Now: Find the sparsest solution of. Known. Sparse and Redundant ... Average performance results are available too, showing much better bounds ...
Build a cartoon using wedgelets on dyadic squares. r. Wedgelet Representation ... Block size is 2-j x 2-j. C2 curve contained in strip with width ~ length2 ...
Outline Statistical Modeling and Conceptualization of Visual Patterns S. C. Zhu, Statistical modeling and conceptualization of visual patterns, IEEE ...
... to obtain the best dictionary ?. ... The Dictionary: Our dream - Solve: known ... Coifman's dream The concept of combining transforms to represent efficiently ...
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Determination of the cost of the service as a function of the features of the ... Matrices of photo sensors collecting photons of given wavelength. Features: ...
with high probability, pruned coarse partition close. to optimal coarse partition ... square containing a boundary fragment is pruned in the first stage (this may ...
Predicting Wavelet Coefficients Over Edges Using Estimates ... There is method to the denoise, denoise, ..., denoise madness. No explicit statistical modeling. ...
Colloquium Honoris Causa, Oct. 10th 2005. Can wavelets help ... What about computer audition ? Simple acoustic model = approximate. room acoustics = convolution ...
The Computer Science Department. Scientific Computing & Computational ... Mutual Incoherence. M mutual incoherence between and . Properties. Generally, ...
Dr. Aysegul Cuhadar (Carleton SCE) Dr. Rob deKemp ... PET and its use in cardiology. Wavelets and wavelet-based denoising ... Background PET in cardiology ...
Not considered state-of-the-art. Multivariate MFs. Complicated. Superior results ... Substituting the boundary vector q with a different vector p forms a ...
A paper by Emmanuel Candes, Justin Romberg, and Terence Tao. Application ... recovery, so it is helpful to minimize the TV-norm instead of the l1 norm. ...
Workshop on Perceptual Organization in Computer Vision 2006, New York ... as a cluster which can be succinctly described by a polygon in this space. ...
... occurrences statistics of model centroids (that identify ... model for each window s.t: ... construct histogram bins s.t. each bin will contain ...
Workshop on Regularization in Statistics ... Topological Regularization: Generic Viewpoint Principle. Geometric Regularization: Perception & Role of Curvature ...
Philippe Naveau. Multi-Resolution Analysis. An introduction to wavelets ... Late Maunder Minimum: Very cold winters, particularly in Europe. Aert van der Neer ...
Computing the power spectrum: iterative least-squares fitting of sine waves (SWF) ... 2-order polynomial fit (in log-log parameter space) to the background noise ...
Cropped. 39. 55. 56. 50. 140. Segmented. Spleen. Kidney. Liver. Heart. Backbone. Organs. The image might need to be cropped, when using filters that are sensitive to ...