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updated almost 2 years ago

Image Noise Reduction by Local Statistics by Tristan Ursell

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

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

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updated 2 years ago

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)

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updated 2 years ago

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

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

overallmeanstd(grpn, grpmean, grpstd)

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updated 4 years ago

cumulativ statistic by Mauro

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

cumstat(x,dim)

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updated 4 years ago

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)

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updated 9 years ago

RandDeviate by Skynet

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

randdev.m

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updated 12 years ago

Progressive mean and standard deviation. by Gabriele

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

[m_t,s_t]=f_cummeanstd(y);

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