In MATLAB:

RGBimage = imread('barns_grand_tetons_reduced.jpg');
[height,width,depth]=size(RGBimage);
HSVimage=rgb2hsv(RGBimage);

% Caution: MATLAB's hsv2rgb routine is very memory-hungry. I had to halve
% the size of the source image to avoid running out or memory (even with
% a lot of swap space allocated).

% Newer versions of matlab need outputimage=zeros(height*4,width,depth,'double');
outputimage=double(zeros(height*4,width,depth));
for w=1:width,
  for h=1:height,
    outputimage(h,w,1) = HSVimage(h,w,1); %Copy H, S and V for normal image
    outputimage(h,w,2) = HSVimage(h,w,2);
    outputimage(h,w,3) = HSVimage(h,w,3);
    outputimage(h+height,w,1) = HSVimage(h,w,1); %Copy H only for first component
    outputimage(h+height,w,2) = 1;
    outputimage(h+height,w,3) = 1;
    outputimage(h+(2*height),w,2) = HSVimage(h,w,2); %S only for second component
    outputimage(h+(2*height),w,1) = 1;
    outputimage(h+(2*height),w,3) = 1;
    outputimage(h+(3*height),w,3) = HSVimage(h,w,3); %V only for third component
    outputimage(h+(3*height),w,1) = 1;
    outputimage(h+(3*height),w,2) = 1;
  end
end

im2=hsv2rgb(outputimage);
image(im2);
imwrite(im2,'HSV_separation.jpg','jpeg');