A NOVEL METHOD OF MEDICAL IMAGE ENCRYPTION BY APPLYING THE MULTISCALE TRANSFORM-BASED IMAGE COMPRESSION: A REVIEW

Abstract

The use of cloud computing and its countless applications has experienced rapid development in recent years. In the form of images, video and audio, a cloud can contain vast amounts of multimedia data. Cloud computing systems confront problems in terms of data security, message integrity, user authentication and compression. Multimedia data requires plenty of space for storage. Consequently, to minimize data size, multimedia data compression is required. Compression methods are very reliable, giving advantages to organizations in the cloud that deal with metasized data. Compressing vast volumes of information contributes to superior cloud storage usage. The main objective of this paper is to propose a new architecture that performs joint medical image compression and image encryption in the cloud, comprising multiscale transformations, public key cryptography and suitable encoding techniques. In image compression, multiscale transforms play a leading role, and wavelet, bandelet, curvelet, ridgelet and contourlet transforms are those discussed in this paper. In terms of time and frequency domains, wavelet transforms give robust localization.