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updated 1 year ago

BEADS: Baseline Estimation And Denoising w/ Sparsity (chromatogram signals) by Laurent Duval

Remove baseline, background or drift and random noise from positive and sparse chromatographic peaks (signal processing, convex optimization, denoising)

Example: Chromatograms BEADS (Baseline Estimation And Den...

beads(y, d, fc, r, lam0, lam1, lam2)

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updated 1 year ago

Efficient Beltrami Image Denoising and Deconvolution by Dominique Zosso

Implementation of our Primal-Dual Projected Gradients algorithm for efficient Beltrami regularizatio (beltrami, image denoising, nonblind deconvolutio...)

BackwardX(v)

BackwardY(v)

BeltramiPD( I0, beta, lambda, r1, r2, tol, Maxit )

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updated 3 years ago

Non-Local Euclidean Medians by Kunal Chaudhury

Kunal Chaudhury (view profile)

Non-local patch-based image denoising using Non-Local Euclidean Medians (NLEM). (nonlocal means, patch regression, nonlinear diffusion)

NLEM(imgNoisy, h, P, S)

findEuclideanMedian

demo.m

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updated 4 years ago

Optimization tutorial by Mark Bangert

Mark Bangert (view profile)

Set of functions for convex optimization including different optimization and line search algorithms (convex optimization, line search, lbfgs)

mb_backtrackingLineSearch(objFunc,objFuncValue,x,dx,dir)

mb_bfgs

mb_cg

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updated 4 years ago

Fast Continuous Max-Flow Algorithm to 2D/3D Image Segmentation by Jing Yuan

Jing Yuan (view profile)

Fast continuous max-flow algorithm to 2D/3D image segmentation developed in matlab, C and GPU (image processing, image segmentation, convex optimization)

CMF3D_Cut

CMF_Cut

test_CMF

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updated 4 years ago

Fast Continuous Max-Flow Algorithm to 2D/3D Multi-Region Image Segmentation by Jing Yuan

Jing Yuan (view profile)

It implements the fast continuous max-flow algorithm to 2D/3D multi-region image segmentation. (image processing, image segmentation, convex optimization)

CMF3D_ML_Cut

CMF_ML_Cut

test_CMF3D_ML

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