Combinational domain encryption for still visual data

Nidhi Taneja, Balasubramanian Raman, Indra Gupta

Abstract: Image data has distinct regions of different importance. This property of image data has extensively been used to develop partial encryption techniques, but it is still unnoticed for total encryption. Providing similar security level to data of varied significance consumes more computational resources. This necessitates the development of an encryption framework that considers data significance while implementing total encryption. This article proposes a new framework of combinational domain encryption that encrypts significant data in spatial domain and insignificant data in wavelet domain. Experiments have been performed to analyze the effect of proposed framework as compared to encryption technique in a single domain. Significant reduction in computational time has been observed without compromising on the security. Medical applications or security applications requiring fast computation would be benefitted by implementation of the proposed technique.