In this paper, we propose a side matching vector quantisation (SMVQ) data hiding scheme
for image using multiple linear regression prediction. For each pixel block, the proposed …

Vector quantization, ie, VQ, is an important image compression method. In the past, many
data hiding schemes have been proposed based on VQ. However, none of them is graph …

Digital data hiding applications have been developed mainly with a view for sending secret
information safely through the Internet or other computer networks. Most of the existing …

The major application of digital data hiding techniques is to deliver confidential data secretly
via public but unreliable computer networks. Most of the existing data hiding schemes …

In this paper, we propose a novel lossless data hiding method for vector quantization (VQ)
compressed images. The existing methods sort the codebook based on the intensity of …

The vector quantization (VQ) concept is widely used in many applications. Side-match vector
quantization (SMVQ) is a VQ-based image compression method that offers significantly im …

Lossless data hiding recovers original images precisely after secret data are extracted.
Therefore, it has received considerable attention among researchers. This paper offers an …

Data hiding is popularly employed in protecting the copyright, secret information and
communication secretly with the convenience of network communication. In order to reduce …

This paper proposes a high-capacity image-hiding scheme based on an adaptive index.
Data-hiding based on vector quantization (VQ) is a technique for hiding data in the VQ index …

An adaptive data hiding scheme capable of hiding considerable quantities of secret data
while preserving acceptable visual quality for cover images is proposed. The major idea of …