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The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet.
1. Reading an image of either gray scale or RGB image.
2. Converting the image into grayscale if the image is RGB.
3. Decomposition of images using wavelets for the level N.
4. Selecting and assigning a wavelet for compression.
5. Generating threshold coefficients using Birge-Massart strategy.
6. Performing the image compression using wavelets.
7. Computing and displaying the results such as compressed image, retained energy and Zero coefficients.
8. Decompression the image based on the wavelet decomposition structure.
9. Plotting the reconstructed image.
10. Computing and displaying the size of original image, compressed image and decompressed image.
Citation pour cette source
Jebakumari Beulah (2026). Image Compression using Wavelet (https://fr.mathworks.com/matlabcentral/fileexchange/20501-image-compression-using-wavelet), MATLAB Central File Exchange. Extrait(e) le .
Informations générales
- Version 1.0.0.0 (815 octets)
-
Aucune licence
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.0 |
