Eigen Value based K-means Clustering for Image Compression

Abstract

In this paper, a new method has been proposed to enhance the performance of K-means clustering using the significance of Eigen values in spectral decomposition. Experimental results with standard images show that the proposed method shows faster convergence and reduced bit rate than standard K-means without compromise in the quality of the reconstructed images measured in terms of Peak Signal to Noise Ratio(PSNR).