Image Compression Using Principle Component Analysis

abbas arab, Jamila harbi, amel abbas

Abstract


Principle component analysis produced reduction in dimension, therefore in our proposed method used PCA in image lossy compression and obtains the quality performance of reconstructed image. PSNR values increase when the number of PCA components is increased and CR, MSE, and other error parameters decreases when the number of components is increased.

Keywords


lossy compression, PCA, Eigenvalue, and Eigenvector.

Full Text:

PDF


DOI: http://dx.doi.org/10.23851/mjs.v29i2.256

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Al-Mustansiriyah Journal of Science

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Copyright (c) 2018 by Al-Mustansiriyah Journal of Science
ISSN: 1814-635X (Print), ISSN: 2521-3520 (online)