A Secure and Efficient Image Sharing Method Based on Bilateral Compressive Sensing With Multilevel Privacy Preserving Function

This paper proposes a new image sharing method that uses compressive sensing (a technique that compresses and encrypts data simultaneously) with multiple privacy levels, so different users can access only the information they need without seeing sensitive details. The method uses an algorithm called T-ℓ1-B2DLDA to compress images in a way that allows some users to classify or analyze images without reconstructing the original, while others with higher access levels can fully reconstruct them.