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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014

A Secured Image Storing and Retrieving Framework over Cloud Environment

Kolasani Sravya | Yakkala Nagendra Kumar

Abstract: High Definitional-scale image data are heavier on executing devices such data outsource to image management systems to cloud services for its abundant computing resources and benefits is fast growing trend now a days. Image data are sensitive, outsourcing image services are under scanner for security related queries, we in this paper propose a well defined secured image storing and retrieving (SISR) business framework using compressed sensing framework unifying the traditional sampling and compression for image acquisition. Framework adopts the cloud to securely reconstruct images without revealing information from either the compressed image samples or the underlying image content.

Keywords: Compressed sensing, security and privacy, cloud computing, image reconstruction

Edition: Volume 3 Issue 7, July 2014,

Pages: 1942 - 1947