Need help with Turbo product code
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I am trying to encode a grsy image using turbo product code but it's not working. The code I tried is below:
clc
clear
N = [127;255];
K = [120;239];
img = imread('pout.tif');
img = de2bi(img);
resized = imresize(img,[prod(K) 1]);
enc = tpcenc(resized,N,K);
enc = double(enc);
dec = tpcdec(enc,N,K);
op_img = reshape(dec,[],8);
op_img = op_img.';
op_img = reshape(2.^(0:7)*op_img,[],15);
op_img = imresize(op_img,[290 240]);
op_img = uint8(op_img);
figure();imshow(op_img)
Can you please guide me with this?
6 Comments
Jan
on 6 May 2021
You forgot to mention, what the problem is. Sharing this important detail is essential when you want to get your problem solved.
Are you sure you want to resize your image to a single column?
resized = imresize(img,[prod(K) 1]); % ?!?
Neeraj Chimwal
on 7 May 2021
Jan
on 7 May 2021
Then reshape is what you need, not imresize.
Neeraj Chimwal
on 8 May 2021
Jan
on 8 May 2021
imresize(img) canges the contents of the pixels by an interpolation. As far as I understand you only want to change the shape keeping the values of the pixels, so use: resized = img(:), which is an abbreviation for reshape(img, numel(img), 1).
Neeraj Chimwal
on 8 May 2021
Answers (1)
Walter Roberson
on 6 May 2021
Edited: Walter Roberson
on 6 May 2021
img = de2bi(img);
That is something by 8, where the something is the number of elements in the original image.
resized = imresize(img,[prod(K) 1]);
image resizing happens in 2D, so you are collapsing all 8 bits per entry into a single bit, and interpolating to 28680 rows. Is it deliberate that you are doing something similar to thresholding down to one bit per entry when you imresize() the 8 bits down to one ??
op_img = reshape(dec,[],8);
... No, you got rid of the 8 bits per entry when you imresize()'d
Maybe you should be doing
resized = de2bi(reshape(imresize(img, K),[],1), 8)
9 Comments
Neeraj Chimwal
on 7 May 2021
Walter Roberson
on 7 May 2021
As Jan indicated, you should use reshape() not imresize()
Neeraj Chimwal
on 8 May 2021
Walter Roberson
on 8 May 2021
Well, what you should really be doing is breaking up the input signal into blocks of length K, and encoding each block and "send" the results concatenated together. Then on the "receiver", break up the received data, decode each part, and concatenate the results together.
Neeraj Chimwal
on 13 May 2021
Walter Roberson
on 13 May 2021
img_K = buffer(img(:), K);
if you have the Communications Systems Toolbox
Neeraj Chimwal
on 14 May 2021
filename = 'cameraman.tif';
N = [127;255];
K = [120;239];
pK = prod(K);
img = imread(filename);
imshow(img)
title('original')
%part 1 -- encoding
binimg8 = de2bi(img, 8).';
binimgK = buffer(binimg8(:), pK);
for J = size(binimgK,2) : -1 : 1 %reverse order for efficiency
enc(:,J) = tpcenc(binimgK(:,J),N,K);
end
%part 2 -- decoding
enc = double(enc);
for J = size(enc,2) : -1 : 1 %reverse order for efficiency
dec(:,J) = tpcdec(enc(:,J),N,K);
end
decimg8 = reshape(dec,8,[]) .';
op_img_dec = decimg8 * 2.^(0:7).';
op_img_dec = op_img_dec(1:numel(img)); %get rid of padding
op_img = uint8(reshape(op_img_dec, size(img)));
figure();
imshow(op_img)
title('reconstructed')
Neeraj Chimwal
on 15 May 2021
Edited: Neeraj Chimwal
on 15 May 2021
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