Info
This question is locked. Vuélvala a abrir para editarla o responderla.
Matlab source code for Image compression algorithm
26 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Rishav
el 16 de Mzo. de 2014
Locked: Steven Lord
el 30 de Jul. de 2024
I need a source code for image compression algorithm that will read the image and then compress it and save it in another folder. There is no need to display the image while executing. It would be more helpful if the source code works on multiple files through a loop. p.s i am working in matlab 2010a
0 comentarios
Respuesta aceptada
Image Analyst
el 16 de Mzo. de 2014
originalImage = imread(inputfilename);
[inputFolder, baseFileName, ext] = fileparts(inputfilename);
% Write as compressed JPG or PNG or whatever.
outputFileName = fullfile(outputFolder, [baseFileName, '.jpg']);
imwrite(originalImage, outputFileName);
13 comentarios
doaa
el 6 de Nov. de 2022
if you be exist to the code ,can you sent to me because i need it and doesn't reach for any code
Walter Roberson
el 6 de Nov. de 2022
doaa, we have been discussing multiple programs, and we do not know which one you want.
Más respuestas (2)
Sufyan Parkar
el 26 de Sept. de 2019
Editada: DGM
el 8 de Abr. de 2024
Well Steven Lord,
I have tried to write a code myself.
Please try to assist me here.
clc;
clear all;
close all;
a = imread("location");
ag = rgb2gray(a);
imshow(a)
z = zeros(size(ag));
[x y] = size(ag);
for i = 1:x
z(i,1) = ag(i,1);
for j = 2:y
z(i,j) = ag(i,j-1) - ag(i,j);
end
end
disp(z)
figure()
imshow(z)
1 comentario
Walter Roberson
el 26 de Sept. de 2019
That code does no image compression. It tries to find the difference between adjacent pixels, perhaps in preparation for delta encoding. However, you will find that ag is likely uint8 and when you subtract a larger uint8 from a smaller you get 0 rather than negative. If you were to take care to double(ag) then you could get negative. However you are storing the results in double() and imshow of double with negative values might not give you the results you expect. Does it make sense to display the difference between adjacent pixels as if it were itself an image?
By the way: read about diff()
khadija elazrag
el 27 de Oct. de 2019
Hi i need source code for DNA comprission by using huffman algorithm
6 comentarios
mousa
el 30 de Jul. de 2024
hi i need code to do this,Give an example of image compression using MATLAB code.
Image Analyst
el 30 de Jul. de 2024
@mousa just save your image variable as a JPG or PNG image file
imwrite(rgbImage, 'compressed image.jpg'); % Lossy compression
imwrite(rgbImage, 'compressed image.png'); % Lossless compression
This question is locked.
Ver también
Categorías
Más información sobre Large Files and Big Data en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!