High-capacity image hiding scheme based on vector quantization

Authors:
Yu-Chen Hu
Affiliations:
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan 433, ROC
Venue:
Pattern Recognition
Year:
2006

Citing 6
Cited 13

Techniques for data hiding

IBM Systems Journal
Cryptography and Secure Communications

Cryptography and Secure Communications
BPCS steganography using EZW lossy compressed images

Pattern Recognition Letters
A fast LBG codebook training algorithm for vector quantization

IEEE Transactions on Consumer Electronics
Data hiding in images via multiple-based number conversion and lossy compression

IEEE Transactions on Consumer Electronics
A virtual image cryptosystem based upon vector quantization

IEEE Transactions on Image Processing

High-Performance Reversible Data Hiding

Fundamenta Informaticae
A two-codebook combination and three-phase block matching based image-hiding scheme with high embedding capacity

Pattern Recognition
Adaptive embedding techniques for VQ-compressed images

Information Sciences: an International Journal
Grayscale Image Hiding Based on Modulus Function and Greedy Method

Fundamenta Informaticae
Reversible image hiding scheme using predictive coding and histogram shifting

Signal Processing
Compression-unimpaired batch-image encryption combining vector quantization and index compression

Information Sciences: an International Journal
Visually imperceptible image hiding scheme based on vector quantization

Information Processing and Management: an International Journal
Adaptive data hiding for vector quantization images based on overlapping codeword clustering

Information Sciences: an International Journal
Fast communication: Reversible and high-payload image steganographic scheme based on side-match vector quantization

Signal Processing
High-Performance Reversible Data Hiding

Fundamenta Informaticae
Grayscale Image Hiding Based on Modulus Function and Greedy Method

Fundamenta Informaticae
Efficient reversible data hiding for VQ-compressed images based on index mapping mechanism

Signal Processing
Efficient VQ-based image coding scheme using inverse function and lossless index coding

Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

A novel grayscale image hiding scheme that is capable of hiding multiple secret images into a host image of the same size is proposed in this paper. The secret images to be hidden are first compressed by vector quantization with additional index compression process. Then, the compressed secret images are encrypted and embedded into the least-significant bits of the host pixels. To provide good image quality of the stego-image, the modulus function and the image property are employed to hide the secret bits into the host pixels and determine the number of hidden bits in each host pixel, respectively. According to the results, the proposed scheme provides a higher hiding capacity and a higher degree of security than that of the virtual image cryptosystem.