Abstract
ABSTRACT The visual secret sharing (VSS) technique is an encryption model to conceal secret messages into two or more meaningless images, called shares. Information loss is a huge drawback in existing systems. An efficient model has been developed to reconstruct the original image using the Border Shuffled Shepherd Optimization (BSSO) based on the visual cryptography technique. Visual cryptography is performed on the transmitter and receiver sides. At the transmitter side, the input image is partitioned into numerous shares and the B-noisy matrix is optimally generated using BSSO, which is an incorporation of Border Collie Optimization (BCO) and Shuffled Shepherd Optimization (SSO). At the receiver end, all the shares are integrated to reconstruct the original image. The BSSO has maximum Peak-to-Signal Noise Ratio (PSNR) of 56.591, distortion ratio of 0.908, noise level of 0.834, Mean squared error (MSE) of 0.038, and Structural Similarity Index (SSIM) of 0.981, for Lena image.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
