Box Blur with multithreading $(30\%-100$ marks$)$

Your program will decode a PNG file into an array and apply the box blur filter. Blurring an image

reduces noise by taking the average RGB values around a specific pixel and setting it$$s RGB to the

mean values you$$ve just calculated. This smoothens the colour across a matrix of pixels. For this

assessment, you will use a $3$x$3$ matrix. For example, if you have a $5$x$5$ image such as the following $($be

aware that the coordinate values will depend on how you format your $2$D array$)$:

$0,41,42,43,44,4$

$0,31,32,33,34,3$

$0,21,22,23,24,2$

$0,11,12,13,14,1$

$0,01,02,03,04,0$

The shaded region above represents the pixel we want to blur, in this case, we are focusing on pixel

$1,2($x$,$y$)($Centre of the matrix$).$ to apply the blur for this pixel, you would sum all the Red values from

the surrounding coordinates including $1,2($total of $9$ R values$)$ and find the average $($divide by $9).$ This

is now the new Red value for coordinate $1,2.$ You must then repeat this for Green and Blue values.

This must be repeated throughout the image. If you are working on a pixel which is not fully

surrounded by pixels $(8$ pixels$),$ you must take the average of however many neighbouring pixels

there are.

NOTE $$ this program should work with any amount of threads.

Reading in an image file into a single or $2$D array $(10$ marks$)$

Applying Box filter on image $(20$ marks$)$

Using multithreading appropriately to apply Box filter $(40$ marks$)$

Using dynamic memory $$ malloc $(10$ marks$)$

Outputting the correct image with Box Blur applied $(20$ marks