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.

近年来，通信和存储技术得到了极大的发展，分别提供了不断增加的带宽和存储容量。但是，即使在今天，有效利用资源（如网络带宽和数据存储）也很重要。每单位时间生成越来越多的数据，并且这些巨大的数据通过网络发送并存储在本地和/或云存储设备中。压缩技术用于压缩或减小数据大小，以便有效利用这些资源。压缩技术基本上有两种类型。保留了需要数据完整性的应用程序所使用的无损压缩，而那些数据中的细微变化要么未被注意到或不影响信息语义的应用程序使用了有损压缩。在本文中，