Digital watermarking based on neural networks for color images
Signal Processing - Special section on digital signal processing for multimedia communications and services
An iterative method of palette-based image steganography
Pattern Recognition Letters
A novel data hiding scheme for color images using a BSP tree
Journal of Systems and Software
A new steganographic method for color and grayscale image hiding
Computer Vision and Image Understanding
Lossless data hiding for color images based on block truncation coding
Pattern Recognition
Hiding secret data in images via predictive coding
Pattern Recognition
A color image hiding scheme based on SMVQ and modulo operator
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
A new framework of LSB steganalysis of digital media
IEEE Transactions on Signal Processing - Part II
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Reversible Steganography for VQ-Compressed Images Using Side Matching and Relocation
IEEE Transactions on Information Forensics and Security
A Reversible Data Hiding Scheme Based on Side Match Vector Quantization
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
This paper proposes a large payload data embedding method for color images. Under the fast advancement of digital equipments, color images have become a common medium in many applications. A color image can be represented in different color systems, for instance, RGB and YUV color systems. The proposed method modifies the blue value of the color pixel in order to imply the secret data because the blue value is an insensitive color to human eyes. Furthermore, the number of secret bits that can be embedded into a cover pixel is dynamic so the proposed method tries to embed the secret data as many as possible. The proposed method can be applied to both RGB and YUV color systems. However, for anti-stegoanalysis reason, the RGB color system is suitable for the proposed high capacity data embedding method with lower image distortion. The experimental results show that the proposed method is superior to other methods we compared in terms of embedding capacity and visual quality.