Cellular automata-based digital image scrambling under JPEG compression attack

Communication and storage technologies have greatly advanced in recent years, providing ever increased bandwidths and storage capacities respectively. But, efficient utilization of resources like network bandwidth and data storage is relevant even today. More and more data are generated every unit of time and this enormous data is sent over networks and stored in local and/or cloud storage devices. Compression techniques are used to compress or reduce the size of data so as to make efficient use of these resources. Compression techniques are basically of two types; lossless compression used by applications that require integrity of the data is preserved and lossy compression used by applications in which subtle changes in data either go unnoticed or does not affect the semantics of information. In this paper, we analyze the effect of JPEG lossy compression on scrambled images and propose a cellular automata-based method to recover the quality of de-scrambled images.

Automated summary

Advancements in communication and storage technologies have increased bandwidth and storage capacities, but efficient resource utilization remains important. Compression techniques can help save network bandwidth and data storage space.