Visual encryption technology becomes the latest
research area in which a lot of scopes persist. Presently such a
particular cryptosystem procedure is now used by numerous
other countries around the world for the private transmission of
formal records, financial documents, content visuals, digital
voting, and so on. Visualization Cryptographic algorithms one of
the protected methods of transferring pictures online. The main
benefit of image encryption has been that it disguises peripheral
vision with encrypt data secret data with no computation usually
needed. In this work a hybrid visual cryptography method using a
sigmoid function (HVMSF) for enhancing the security in gray
images. HVMSF strategy utilizes a chaos framework to scramble
pixel values as well as blocks while using the Modified Arnold
Cat Map method (MACM) as well as the Henon Map
method (HMM). The methodology includes a confusion
procedure wherein the location of each image pixel is shuffled by
utilizing MACM. The shuffling of image pixel leads to the
creation of a subset pixel which will be protected for transmitting.
This proposed HVMSF mainly tries to overcome the limitation of
the previous approaches by applying sigmoid function in
image feature space for contrast enhancement throughout the
consequent source images. The experimental outcomes precisely
show that the suggested strategy can further give additional
effectiveness to ensure the protection of transmitting information
out over previous techniques.