Improving embedding capacity with minimum degradation of stego-image

Embedding maximum information in a stego-image with minimum change in its appearance has been a major concern in image-based steganography techniques. In this paper, we present a strategy of attaining maximum embedding capacity in an image in a way that maximum possible neighboring pixels are analyzed for their frequencies, to determine the amount of information to be added in each pixel. The technique provides a seamless insertion of data into the carrier image and reduces the error assessment and artifacts insertion required to a minimal. We justify our approach with the help of an experimental evaluation on a prototypic implementation of the proposed model.