Hiding Secret Information Using Adaptive Side-Match VQ

Authors:
Chin-Chen Chang;Wen-Chuan Wu;Chih-Chiang Tsou
Affiliations:
-;-;-
Venue:
IEICE - Transactions on Information and Systems
Year:
2007

Citing 5
Cited 0

High-performance JPEG steganography using quantization index modulation in DCT domain

Pattern Recognition Letters
A Steganographic Method for Hiding Secret Data Using Side Match Vector Quantization

IEICE - Transactions on Information and Systems
Adaptive Data Hiding Based on SMVQ Prediction

IEICE - Transactions on Information and Systems
Image hiding scheme with modulus function and dynamic programming strategy on partitioned pixels

Pattern Recognition
Quantization index modulation: a class of provably good methods for digital watermarking and information embedding

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

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, however, exploit the raw data of cover images to perform secret communications. In this paper, a novel data hiding scheme was presented with the manipulation of images based on the compression of side-match vector quantization (SMVQ). This proposed scheme provided adaptive alternatives for modulating the quantized indices in the compressed domain so that a considerable quantity of secret data could be artfully embedded. As the experimental results demonstrated, the proposed scheme indeed provided a larger payload capacity without making noticeable distortions in comparison with schemes proposed in earlier works. Furthermore, this scheme also presented a satisfactory compression performance.