Quantized Principal Component Analysis with Applications to Low-Bandwidth Image Compression and Communication

Abstract

In this paper we show how Principal Component Analysis can be mapped to a quantized domain in an optimal manner. In particular, given a low-bandwidth communication channel over which a given set of data is to be transmitted, we show how to best compress the data. Applications to image compression are described and examples are provided that support the practical soundness of the proposed method.