MATLAB Learn How to Efficiently Compress Color Images with SVD in Matlab

Click For Summary
Resources for compressing color images using Singular Value Decomposition (SVD) in Matlab are limited, with many tutorials focusing on grayscale images. A color image can be treated as three separate grayscale matrices corresponding to the RGB channels. Users can apply SVD compression techniques to each of these matrices individually. This approach allows for effective compression while retaining color information. Efficiently compressing color images with SVD in Matlab is feasible by handling each channel separately.
matqkks
Messages
282
Reaction score
5
Are there any resources which use Matlab to image compress a colour image using SVD? I can only find information where I need to convert to gray scale first.
 
Physics news on Phys.org
A color image is essentially 3 grayscale images, right? Can you just compress each of the three matrices individually using the methods available for grayscale images?
 

Similar threads

MATLAB SVD and image compression for Matlab
  • · Replies 2 ·
Replies
2
Views
3K
MATLAB How can I create an equation in matlab for image processing?
  • · Replies 1 ·
Replies
1
Views
1K
MATLAB MATLAB: Fluid Flow - Curl of a Vector Field
  • · Replies 2 ·
Replies
2
Views
3K
MATLAB Highlight an object in an image?
  • · Replies 4 ·
Replies
4
Views
2K
MATLAB Bilinear spline interpolation MATLAB using MESHGRID and SURF
  • · Replies 2 ·
Replies
2
Views
3K
Principal component analysis and data compression in Machine Learning
  • · Replies 6 ·
Replies
6
Views
1K
MATLAB Want gray scale image of a matrix in matlab
  • · Replies 4 ·
Replies
4
Views
2K
MATLAB Eliminate Noise from an Image in MATLAB
  • · Replies 15 ·
Replies
15
Views
2K
MATLAB How Can I Post Process LabVIEW Signals in MATLAB to Create an Image?
  • · Replies 4 ·
Replies
4
Views
2K
MATLAB Calculating 3D Least Squares Fit with SVD in MATLAB
  • · Replies 3 ·
Replies
3
Views
20K