Arash Abadpour - Sharif University of Technology
Shohreh Kasaei - Sharif University of Technology

From the birth of multi–spectral imaging techniques, there has been a tendency to consider and process this new type of data as a set of parallel gray–scale images, (instead of an ensemble of an n–D realization). Although, even now, some researchers make the same assumption, it is proved that using vector geometries leads to more realistic results. In this paper, based on the proposed method for extracting the eigenimages of a color image, a new color imagecompression method is proposed and analyzed which performs in the vectorial domain. Experimental results show that the proposed compression method is highly ef£cient

Principle Component Analysis, Color Image Processing, Image Compression, Eigenimages