Need help with Turbo product code

조회 수: 1 (최근 30일)
Neeraj Chimwal
Neeraj Chimwal 2021년 5월 6일
편집: Neeraj Chimwal 2021년 5월 15일
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?
  댓글 수: 6
Jan
Jan 2021년 5월 8일
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
Neeraj Chimwal 2021년 5월 8일
Yes I want to convert it to vector keeping the value BUT I also want the vector to be of size = [prod(k) 1] for tpc encoder.

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답변 (1개)

Walter Roberson
Walter Roberson 2021년 5월 6일
편집: Walter Roberson 2021년 5월 6일
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)
  댓글 수: 9
Walter Roberson
Walter Roberson 2021년 5월 14일
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
Neeraj Chimwal 2021년 5월 15일
편집: Neeraj Chimwal 2021년 5월 15일
You are just amazing brother.
Thanks a lot not for just this time but for helping me before too

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