A locally adaptive data compression scheme
Communications of the ACM
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
The Design of Rijndael
Lossless recovery of a VQ index table with embedded secret data
Journal of Visual Communication and Image Representation
Image vector quantization codec indices recovery using Lagrange interpolation
Image and Vision Computing
Adaptive embedding techniques for VQ-compressed images
Information Sciences: an International Journal
Reversible information hiding for VQ indices based on locally adaptive coding
Journal of Visual Communication and Image Representation
Search-order coding method with indicator-elimination property
Journal of Systems and Software
A lossless data embedding technique by joint neighboring coding
Pattern Recognition
Reversible data hiding of a VQ index table based on referred counts
Journal of Visual Communication and Image Representation
Hiding secret data in images via predictive coding
Pattern Recognition
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Side match and overlap match vector quantizers for images
IEEE Transactions on Image Processing
A Reversible Data Hiding Scheme Based on Side Match Vector Quantization
IEEE Transactions on Circuits and Systems for Video Technology
Reversible steganography based on side match and hit pattern for VQ-compressed images
Information Sciences: an International Journal
Low bit-rate information hiding method based on search-order-coding technique
Journal of Systems and Software
Reversible data hiding using side-match predictions on steganographic images
Multimedia Tools and Applications
Hybrid fractal image coding with quadtree-based progressive structure
Journal of Visual Communication and Image Representation
| Hi-index | 0.00 |
The VQ reversible data embedding technology allows an original VQ coding to be completely restored after the extraction of embedded data. In this paper, we propose a new reversible scheme based on locally adaptive coding for VQ-compressed images. The fractal Hilbert curve is applied to replace the traditional trace of processing the VQ index table. The VQ index table is pre-processed to create a fractal Hilbert curve. Following the curve to process the VQ index table can get better compression rates in the data embedding procedure. Besides, compared to Chang et al.'s scheme, which compressed the inputted VQ index value only when the to-be-embedded bit b is 0, our method performs compressing operations in both cases that the to-be-embedded bits b are 0 and 1. The experimental results show that the proposed method has the best compression rate and the highest embedding capacity compared with other reversible VQ embedding methods.