Image Noise Reduction by Local Statistics by Tristan Ursell

Reduce image noise by measuring local pixel statistics and remapping intensities. (relative, deviation, statistics)

[varargout]=relnoise(Iin,sz,sigma,varargin)

Create a Simulated Image of Diffraction Limited Spots with Noise by Tristan Ursell

Create images with diffraction-limited spots of varying size and intensity, with noise. (image, create, creation)

[Iout,Inoise,spot_data]=spotmaker(im_sz,num_spots,varargin)

Overall mean & standard deviation of groups of observations by Sebastian W

Calculate the overall mean and standard deviation of groups of observations (standard, deviation, mean)

overallmeanstd(grpn, grpmean, grpstd)

cumulativ statistic by Mauro

cumstat calculate the mean and std of an array from 1 to n (cumulative, cumulativ, statistic)

cumstat(x,dim)

cumulative statistic with NaN's by Mauro

cumstat calculate the mean and std of an array with NaN's from 1 to n (cumulative cumulativ, statistic, mean)

nancumstat(x,dim)

RandDeviate by Skynet

Adds controlled noise to a numerical matrix. (matrices, deviation, deviate)

randdev.m

Progressive mean and standard deviation. by Gabriele

Progressive mean and standard deviation. (deviation, standard, mean)

[m_t,s_t]=f_cummeanstd(y);