Image Compression Using Principle Component Analysis

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.