# BM3D Image Denoising

BM3D is a recent denoising method based on the fact that an image has a locally sparse representation in transform domain. The following source code presents a detailed implementation of BM3D Image Denoising Method.

The following source code presents a detailed implementation of the Non-Local Bayes (NL-Bayes) image denoising algorithm.

Piecewise Linear Estimation is a very important denoising algorithm.The following source code focus on its implementation and show its performance by comparing it with several other acclaimed algorithms.

The following source code is used to to produce a single, high-resolution, clean and well-lit image, out of many low-resolution noisy images taken in bad lighting conditions.

The following source code is used to simulate an embedded flutter shutter camera implemented either analogically or numerically.

The following source code is a implementation of a very simple gradient domain method that tries to eliminate the effect of nonuniform illumination and at the same time preserves the images details.

The following source code is about a simple contrast enhancement algorithm based on histogram equalization (HE).

Poisson Image Editing is a new technique permitting to modify the gradient vector field of an image. The following source code is about Selective Contrast Adjustment by Poisson Equation.

Lens distortion is estimated by the division model using one parameter, which allows to state the problem into the Hough transform scheme by adding a distortion parameter to better extract straight lines from the image. The following source code is about Automatic Lens Distortion Correction Using One-Parameter Division Models.

Total variation (TV) regularization is a successful technique for achieving this balance in deblurring problems. The following source code is about Total Variation Deconvolution using Split Bregman.

The following source code is about optical olow estimation, it is more robust to the presence of outliers, produces piecewise-smooth flow fields and can cope with constant brightness changes.

This package and source code uses constrained l1 optimization to solve the regression coefficient matrix operation.

This package and source code can computer over 20 multiple-site diversity indices.

This package and source code is about random generation and parameter estimation for the discrete inverse Weibull distribution

This package and source code computes the studentized midrange distribution.

This package and source code implements nonparametric test of equality between two copulas.

This package and source code implements Aranda-Ordaz transformations for binary response variables in Generalized Linear Models

This package and source code fits a physical model to recorded breakage-current data.

This package and source code validates graphical models using the bootstrap, find the best prediction model using cross validation.

This package and source code is used for High Performance Linear Algebra.

This package is used for isotope patterns, different adducts of the same molecule or homologue series.

The following package and source code is used for selection of subsets of experimental crosses in order to maximize genetic diversity.

The following package and source code contains tools to diagnose convergence as well as to evaluate sensitivity studies.

The following package and source code contains functions that allow the user to design and run a difference scaling experiment, to fit the resulting data by maximum likelihood.

The following package and source code is used to perform Bayesian inference on absorption time data for Phase-type distributions.

The following package and source code is used to compute the maximum likelihood estimator (MLE) of a density as well as a smoothed version of it under the assumption that the density is log-concave.

The following package and source code is used to provide mode estimators of univariate unimodal data or univariate unimodal distributions.

The following package and source code is used to solve first order autocorrelation problems using an iterative method.

The following package and source code is an extension of the Kruskal-Wallis Test that allow selection of arbitrary reference group.

The following package and source code annotates lists of SNPs and/or genes, with current information from NCB.