Simultaneous Color Image Compression and Encryption using Number Theory

The dependence on computing machines and utility of information has been growing tremendously in the last few decades. As a result, evolving effective techniques for storing and transmitting the ever increasing volumes of data has become a high priority issue. Image compression addresses the problem by reducing the amount of data required to represent a digital image. The underlying basis of the compression process is the removal of redundant data. Selection of a suitable compression scheme for a given application depends on the available memory for processing, the number of mathematical computations and the available bandwidth for transmission. The security of digital images is another important issue that has been receiving considerable attention in the recent past. Different image encryption methods have been proposed in the literature towards ensuring the security of data .The encryption process transforms a 2-D pixel array into a statistically uncorrelated data set. In this paper, an enhanced number theory based color image compression and encryption scheme is proposed. This technique encompasses the twin-based application of image compression and image encryption simultaneously adopting a model based paradigm for the general compression-encryption standards.