Circumvolution of Centre Pixel Algorithm in Pixel Value Differencing Steganography Model in the Spatial Domain

Abstract

Sending and receiving sensitive information through any data channel is always a challenging task because of the enormous proliferation of the computer industry. Since steganography algorithms are routinely used to share data, cryptography algorithms have been around for the same objective for a long time, but these cryptographic algorithms are easily brute-forced. Furthermore, more research works have been focused on Steganography models. Initially, steganography models start with a simple LSB data insertion model, which accepts only a limited payload and is easily vulnerable. The PVD algorithms encapsulate more data than conventional LSB approaches whereas still affording a reasonable level of protection to private data. In order to find the set of pixels that can safely store more data bits using circumvolution of the centre pixel algorithm in the PVD domain. This model can embed more data bits when compared with the conventional LSB models. The Confidential data is protected with excellent security with double- layered information hiding. The suggested approach achieves good PSNR and MSE scores and keeps up great quality when more data is added to the stego-image.