Complete this in matlab language. The routine takes a noisy image(in grayscale format of type uint8) as input and attempts to remove the noise with an arithmetic mean filter. A 3x3 window is used to filter the noisy image. The output image type should be uint8.

Function atrim=atrimmed_mean_filter(NoisyIm,d)

%mask size is set to be 3x3

masksize=1;

NoisyIm=double(NoisyIm);

[sizeX,sizeY]=size(NoisyIm);

%create a zero matrix with the same size of the input image

reformedimage(sizeX,sizeY)=zeros;

For i=1:sizeX;

For j=1:sizeY;

window=[];

For m=-masksize:masksize;

For n=-masksize:masksize;

%Complete this for loop to apply the alpha trimmed mean filter. Pay attention to the range of the index

%reformedimage(i,j)=?

End

End