Image Compression Using wavelet- MATLAB
2
I am working on image compression based on wavelet in MATLAB... I have constructed the below code. Everything is working fine but the compressed image is displayed as plain black and white image. If I give the decomposition level as 1, it shows compressed image as full black, for the decomposition level: 2, it gives fully white image.. For the decomposition level 3, it gives 3/4 white and 1/4 black color.. Please help. The code I have used is
clear all;
close all;
input_image1=imread('C:UsersPremDocumentsMATLABmandrill.jpg');
input_image=imnoise(input_image1,'speckle',.01);
figure;
imshow(input_image);
n=input('enter the decomposition level=');
[Lo_D,Hi_D,Lo_R,Hi_R] = wfilters('haar');
[c,s]=wavedec2(input_image,n,Lo_D,Hi_D);
disp(' the decomposition vector Output is');
disp(c);
[thr,nkeep] = wdcbm2(c,s,1.5,3*prod(s(1,:)));
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
disp('compression ratio in percentage');
disp(comp_ratio);
re_ima1 = waverec2(c,s,'haar');
re_ima=uint8(re_ima1);
subplot(1,3,1);
imshow(input_image);
title('i/p image');
subplot(1,3,2);
imshow(compressed_image);
title('compressed image');
subplot(1,3,3);
imshow(re_ima);
title('reconstructed image');
matlab wavelet
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
asked Jan 25 '13 at 14:57
user101509user101509
29110
add a comment |
2
I am working on image compression based on wavelet in MATLAB... I have constructed the below code. Everything is working fine but the compressed image is displayed as plain black and white image. If I give the decomposition level as 1, it shows compressed image as full black, for the decomposition level: 2, it gives fully white image.. For the decomposition level 3, it gives 3/4 white and 1/4 black color.. Please help. The code I have used is
clear all;
close all;
input_image1=imread('C:UsersPremDocumentsMATLABmandrill.jpg');
input_image=imnoise(input_image1,'speckle',.01);
figure;
imshow(input_image);
n=input('enter the decomposition level=');
[Lo_D,Hi_D,Lo_R,Hi_R] = wfilters('haar');
[c,s]=wavedec2(input_image,n,Lo_D,Hi_D);
disp(' the decomposition vector Output is');
disp(c);
[thr,nkeep] = wdcbm2(c,s,1.5,3*prod(s(1,:)));
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
disp('compression ratio in percentage');
disp(comp_ratio);
re_ima1 = waverec2(c,s,'haar');
re_ima=uint8(re_ima1);
subplot(1,3,1);
imshow(input_image);
title('i/p image');
subplot(1,3,2);
imshow(compressed_image);
title('compressed image');
subplot(1,3,3);
imshow(re_ima);
title('reconstructed image');
matlab wavelet
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
asked Jan 25 '13 at 14:57
user101509user101509
29110
add a comment |
2
2
2
1
I am working on image compression based on wavelet in MATLAB... I have constructed the below code. Everything is working fine but the compressed image is displayed as plain black and white image. If I give the decomposition level as 1, it shows compressed image as full black, for the decomposition level: 2, it gives fully white image.. For the decomposition level 3, it gives 3/4 white and 1/4 black color.. Please help. The code I have used is
clear all;
close all;
input_image1=imread('C:UsersPremDocumentsMATLABmandrill.jpg');
input_image=imnoise(input_image1,'speckle',.01);
figure;
imshow(input_image);
n=input('enter the decomposition level=');
[Lo_D,Hi_D,Lo_R,Hi_R] = wfilters('haar');
[c,s]=wavedec2(input_image,n,Lo_D,Hi_D);
disp(' the decomposition vector Output is');
disp(c);
[thr,nkeep] = wdcbm2(c,s,1.5,3*prod(s(1,:)));
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
disp('compression ratio in percentage');
disp(comp_ratio);
re_ima1 = waverec2(c,s,'haar');
re_ima=uint8(re_ima1);
subplot(1,3,1);
imshow(input_image);
title('i/p image');
subplot(1,3,2);
imshow(compressed_image);
title('compressed image');
subplot(1,3,3);
imshow(re_ima);
title('reconstructed image');
matlab wavelet
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
asked Jan 25 '13 at 14:57
user101509user101509
29110
I am working on image compression based on wavelet in MATLAB... I have constructed the below code. Everything is working fine but the compressed image is displayed as plain black and white image. If I give the decomposition level as 1, it shows compressed image as full black, for the decomposition level: 2, it gives fully white image.. For the decomposition level 3, it gives 3/4 white and 1/4 black color.. Please help. The code I have used is
clear all;
close all;
input_image1=imread('C:UsersPremDocumentsMATLABmandrill.jpg');
input_image=imnoise(input_image1,'speckle',.01);
figure;
imshow(input_image);
n=input('enter the decomposition level=');
[Lo_D,Hi_D,Lo_R,Hi_R] = wfilters('haar');
[c,s]=wavedec2(input_image,n,Lo_D,Hi_D);
disp(' the decomposition vector Output is');
disp(c);
[thr,nkeep] = wdcbm2(c,s,1.5,3*prod(s(1,:)));
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
disp('compression ratio in percentage');
disp(comp_ratio);
re_ima1 = waverec2(c,s,'haar');
re_ima=uint8(re_ima1);
subplot(1,3,1);
imshow(input_image);
title('i/p image');
subplot(1,3,2);
imshow(compressed_image);
title('compressed image');
subplot(1,3,3);
imshow(re_ima);
title('reconstructed image');
matlab wavelet
matlab wavelet
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
asked Jan 25 '13 at 14:57
user101509user101509
29110
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
asked Jan 25 '13 at 14:57
user101509user101509
29110
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
edited Jan 25 '13 at 14:59
Oliver Charlesworth
228k25466598
228k25466598
asked Jan 25 '13 at 14:57
user101509user101509
29110
asked Jan 25 '13 at 14:57
user101509user101509
29110
asked Jan 25 '13 at 14:57
user101509user101509
29110
29110
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
0
My opinion the problem with scaling the images .You can divide resulted images by suitable number or use
imagesc(desire image);
subplot(1,3,2);
imshow(compressed_image/156);
title('compressed image');
subplot(1,3,3);
imagesc(re_ima);
title('reconstructed image');
edited May 11 '16 at 12:22
lrnzcig
2,61442236
answered May 11 '16 at 10:45
MussaMussa
1
add a comment |
-1
On this line
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
You are passing a theshold as a signal ... that is not correct.
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
then how to do it?
– user101509
Jan 26 '13 at 16:05
@user101509 Try[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1);- I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs.help wpdencmpfor more information on input arguments
– user1207217
Jan 26 '13 at 17:52
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
My opinion the problem with scaling the images .You can divide resulted images by suitable number or use
imagesc(desire image);
subplot(1,3,2);
imshow(compressed_image/156);
title('compressed image');
subplot(1,3,3);
imagesc(re_ima);
title('reconstructed image');
edited May 11 '16 at 12:22
lrnzcig
2,61442236
answered May 11 '16 at 10:45
MussaMussa
1
add a comment |
0
My opinion the problem with scaling the images .You can divide resulted images by suitable number or use
imagesc(desire image);
subplot(1,3,2);
imshow(compressed_image/156);
title('compressed image');
subplot(1,3,3);
imagesc(re_ima);
title('reconstructed image');
edited May 11 '16 at 12:22
lrnzcig
2,61442236
answered May 11 '16 at 10:45
MussaMussa
1
add a comment |
0
0
0
My opinion the problem with scaling the images .You can divide resulted images by suitable number or use
imagesc(desire image);
subplot(1,3,2);
imshow(compressed_image/156);
title('compressed image');
subplot(1,3,3);
imagesc(re_ima);
title('reconstructed image');
edited May 11 '16 at 12:22
lrnzcig
2,61442236
answered May 11 '16 at 10:45
MussaMussa
1
My opinion the problem with scaling the images .You can divide resulted images by suitable number or use
imagesc(desire image);
subplot(1,3,2);
imshow(compressed_image/156);
title('compressed image');
subplot(1,3,3);
imagesc(re_ima);
title('reconstructed image');
edited May 11 '16 at 12:22
lrnzcig
2,61442236
answered May 11 '16 at 10:45
MussaMussa
1
edited May 11 '16 at 12:22
lrnzcig
2,61442236
edited May 11 '16 at 12:22
lrnzcig
2,61442236
edited May 11 '16 at 12:22
lrnzcig
2,61442236
2,61442236
answered May 11 '16 at 10:45
MussaMussa
1
answered May 11 '16 at 10:45
MussaMussa
1
answered May 11 '16 at 10:45
MussaMussa
1
1
add a comment |
add a comment |
-1
On this line
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
You are passing a theshold as a signal ... that is not correct.
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
then how to do it?
– user101509
Jan 26 '13 at 16:05
@user101509 Try[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1);- I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs.help wpdencmpfor more information on input arguments
– user1207217
Jan 26 '13 at 17:52
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
add a comment |
-1
On this line
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
You are passing a theshold as a signal ... that is not correct.
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
then how to do it?
– user101509
Jan 26 '13 at 16:05
@user101509 Try[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1);- I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs.help wpdencmpfor more information on input arguments
– user1207217
Jan 26 '13 at 17:52
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
add a comment |
-1
-1
-1
On this line
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
You are passing a theshold as a signal ... that is not correct.
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
On this line
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(thr,'s',n,'haar','threshold',5,1);
You are passing a theshold as a signal ... that is not correct.
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
answered Jan 25 '13 at 15:07
user1207217user1207217
4521315
4521315
then how to do it?
– user101509
Jan 26 '13 at 16:05
@user101509 Try[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1);- I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs.help wpdencmpfor more information on input arguments
– user1207217
Jan 26 '13 at 17:52
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
add a comment |
then how to do it?
– user101509
Jan 26 '13 at 16:05
@user101509 Try[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1);- I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs.help wpdencmpfor more information on input arguments
– user1207217
Jan 26 '13 at 17:52
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
then how to do it?
– user101509
Jan 26 '13 at 16:05
then how to do it?
– user101509
Jan 26 '13 at 16:05
@user101509 Try
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1); - I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs. help wpdencmp for more information on input arguments– user1207217
Jan 26 '13 at 17:52
@user101509 Try
[compressed_image,TREED,comp_ratio,PERFL2] =wpdencmp(input_image,'s',n,'haar','threshold',5,1); - I don't currently have access to the wavelet toolbox and I can't remember exactly what this function does with its inputs. help wpdencmp for more information on input arguments– user1207217
Jan 26 '13 at 17:52
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
It didn't work... now the compressed image is fully white for all 3 levels
– user101509
Jan 27 '13 at 11:00
add a comment |
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