Color Image Hiding Using Neural Networks with Grey Relation Based on Interpolative Vector Quantization

Abstract

In this paper, a novel color image hiding technique using spread grey-based competitive Hopfield neural network (SGHNN) and Hadamard Transform (HT) digital watermarking is proposed. The goal is to offer secure communications in the internet through compress the original color image and embedded into another disguise color image. Our method includes a spread-unsupervised competitive Hopfield neural network with grey relational analysis for color image compression based on interpolative vector quantization (IVQ). Then we embedded color IVQ indices and sorted codebooks of original color image information into a disguise color image by HT-based watermarking so that design a security color image hiding is feasible.