how to remove salt and pepper noise using neural median filter.

I want convert the noisy pixel to 1 and noise free to 0 and then apply perceptron AND gate for noise detection. can anyone give the code that fullfil these requirement.

Answer 1

[Rahul]

Hi @marjan sultana,

In order to remove salt and pepper noise from an image, you can refer to the following updated documentation for ‘Noise Removal’ which mentions 'filter2' and 'medfilt2' functions to remove the noise:

https://www.mathworks.com/help/releases/R2021b/images/noise-removal.html

For the second part, you can use the filtered image from the first part to create a noise mask and obtain the perceptron output using the following method:

% Considering 'originalimage' and 'filteredImage' to be variables for noisy
% and filtered images respectively.

noiseMask = abs(originalImage - filteredImage) > 0.1; % Value can be adjusted

% Set weights and bias for AND gate perceptron 
weights = [1, 1];
bias = -1.5; 

% Obtain the 'perceptronOutput' using the Perceptron AND logic using
% 'arrayfun' to apply the logic to all pixels of the 'noiseMask'

inputs = [noiseMask(:), noiseMask(:)]; % 1D array to run the function through all pixels

perceptronOutput = arrayfun(@(x, y) double(weights * [x; y] + bias > 0), inputs(:, 1), inputs(:, 2));
perceptronOutput = reshape(perceptronOutput, size(noiseMask));

You can run the following command in the Command Window to refer to Mathworks documentation about 'arrayfun':

doc arrayfun

Hope this helps to resolve your query! Thanks.