Need a Matlab code for this project, you will read in an image, add noise to it$,$ attempt to remove the noise with

three different filters, and then compare the results.

Use an image that has values from about $0-255.$ Make sure you convert the images to precision

"double" before adding noise.

Add noise to the image with the randn command. Use a standard deviation of $10.$ For example:

Noisylmage $=$ Image $+10*$ randn$($size$($Image$))$; should work.

$1$ Filter the image with one of the Harmonic mean filter Adjust the parameters of the filter until

you get the best MSE that you can.

The MSE is a scaler and is calculated as: $(($Restoredlmage $-$ Images$).{?}^{{?}^{{?}^{?}}}2)/($number of

pixels in an image$).$ Although the number may be small, dividing by the number pixels allows

comparison between different size images and different images.

$2$ Repeat the above process using an order statistic filters $($e$.$g$.$ Median, Max, Min, Midpoint,

and Alpha$-$trimmed mean filters$),$ and determine the best parameter for the filter you have

chosen.

$3$ Also use the adaptive filter to filter the noise and adjust the parameters until you get the

lowest MSE.