Find SNR for different values $25,50,75,$ and $100$ of the noise std $($standard

deviation$)$ and plot the results graph,Empirical Resolution,Calculated Resolution,Percentage error,SNR vs$.$ Noise Graph? clc; clear all;

imfinfo$(\text{'}$example$1.$jpg$\text{'})$

II$=$imread$(\text{'}$example$1.$jpg$\text{'})$;

II$=$double$($II$)$; $\%$convert data type to double

$\%\%$

figure; imshow$($II$,[])$;

BW $=$ roipoly; $\%$select a region to find SNR

ind$=$find$($BW$==1)$; $\%$find the pixels that are selected

bw$\_$image $=$ zeros$($size$($II$))$; $\%$make a array same size as the image

bw$\_$image$($ind$)=1$; $\%$convert the array into a binary image

hold on;

imcontour$($bw$\_$image,$1,\text{'}$r$\text{'})$; $\%$display the contour

figure;imshow$($bw$\_$image,$[])$; title$(\text{'}$Binary Image'$)$;$\%$display the binary image

$\%$FINDING SNR FOR NOISE$-$FREE IMAGE

$\%=================================$

mu $=$ mean$($II$($ind$))$; $\%$find the mean in the selected region

sd $=$ std$($II$($ind$))$; $\%$find the standard deviation in the selected region

SNR$=$log$($mu$/$sd$)$; $\%$find the SNR in dB

disp$(\text{'}$The SNR for noise free image in dB is:$\text{'})$; SNR $\%$

$\%$ADD NOISE

$\%================================$

dim$=$size$($II$)$; $\%$get the dimension of the image

noise$=$random$(\text{'}$norm$\text{'},0,50,[$dim$(1,1),$dim$(1,2)])$; $\%$generate random noise

$\%$ same size as the image

II$\_$noisy$=$II$+$noise; $\%$add noise to the image

figure;imshow$($II$\_$noisy,$[])$

BW $=$ roipoly; $\%$select a region to find SNR

ind$=$find$($BW$==1)$; $\%$find the pixels that are selected

bw$\_$image $=$ zeros$($size$($II$))$; $\%$make a array same size as the image

bw$\_$image$($ind$)=1$; $\%$convert the array into a binary image

hold on;

imcontour$($bw$\_$image,$1,\text{'}$r$\text{'})$; $\%$display the contour

figure;imshow$($bw$\_$image,$[])$; title$(\text{'}$Binary Image'$)$;$\%$display the binary image

$\%$FINDING SNR FOR NOISY IMAGE

$\%=================================$

mu$\_$noisy $=$ mean$($II$\_$noisy$($ind$))$; $\%$find the mean in the selected region

sd$\_$noisy$=$ std$($II$\_$noisy$($ind$))$; $\%$find the standard deviation in the selected

region

SNR$\_$noisy$=$log$($mu$\_$noisy$/$sd$\_$noisy$)$; $\%$find the SNR in dB

disp$(\text{'}$The SNR for noisy image in dB is:$\text{'})$; SNR$\_$noisy $\%$