Cyber Times International Journal of Technology & Management

Visual Cryptography is a technique in which the image (Text) gets encrypted and decrypt with human vision. There is no computation performed in it. Visual cryptographic solutions operate on binary inputs. Therefore, natural (continuous-tone) images must be first converted into halftone images by using the density of the net dots to simulate the original gray or color levels in the target binary representation. The performance of Visual cryptography depends on various image preprocessing techniques and measures, such as half toning, error diffusion, pixel expansion, shares, feature points, computation complexity, Entropy etc. In this paper, we discuss about various approaches used to implement VC along with their advantages and disadvantages. I propose a step construction to construct transparent shares. The performance is measured with Entropy.