An Implementation of Key-Based Digital Signal Steganography
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Steganographic Scheme for VQ Compressed Images Using Progressive Exponential Clustering
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
High-capacity image hiding scheme based on vector quantization
Pattern Recognition
Reversible steganographic method using SMVQ approach based on declustering
Information Sciences: an International Journal
Image complexity and feature mining for steganalysis of least significant bit matching steganography
Information Sciences: an International Journal
An adaptive steganography for index-based images using codeword grouping
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
New image steganographic methods using run-length approach
Information Sciences: an International Journal
Spread spectrum image steganography
IEEE Transactions on Image Processing
Reversible data hiding of a VQ index table based on referred counts
Journal of Visual Communication and Image Representation
Adaptive terrain-based memetic algorithms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Spectrum Steganalysis of WAV Audio Streams
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Grouping strategies for promoting image quality of watermarking on the basis of vector quantization
Journal of Visual Communication and Image Representation
A high payload frequency-based reversible image hiding method
Information Sciences: an International Journal
Journal of Visual Communication and Image Representation
A reversible data hiding scheme using complementary embedding strategy
Information Sciences: an International Journal
Perceptually adaptive spread transform image watermarking scheme using Hadamard transform
Information Sciences: an International Journal
Progressive exponential clustering-based steganography
EURASIP Journal on Advances in Signal Processing
Reversible steganography based on side match and hit pattern for VQ-compressed images
Information Sciences: an International Journal
Geometric piecewise uniform lattice vector quantization of the memoryless Gaussian source
Information Sciences: an International Journal
A fast VQ codebook search with initialization and search order
Information Sciences: an International Journal
Reversible data hiding using neighboring block in VQ-compressed images
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
A compact covering method to exploit embedding capacity for matrix encoding
Information Sciences: an International Journal
Information Sciences: an International Journal
Lossless data hiding for VQ indices based on neighboring correlation
Information Sciences: an International Journal
Hi-index | 0.07 |
An embedding algorithm, which can adaptively embed a binary message into a VQ-compressed image, is proposed in this paper. The proposed algorithm is divided into three phases. In the codeword grouping phase, a new group of codewords is initiated by the two most similar codewords which do not belong to any group. For each codeword which does not belong to any group, if the codeword is similar to all of the codewords in the group, it will be added to the group. In the embedding phase, each codeword in a group will be assigned to embed a certain sub-message whose length is determined by the number of codewords in the group. The more codewords a group has, the higher the embedding capacity of a codeword in the group will be. In the extracting phase, given a codeword and the number of codewords in the group to which the codeword belongs, the embedded message can be extracted from the codeword by simply determining the order of the codeword in the group. Experimental results show that the proposed algorithm performs better than previous algorithms with regard to embedding capacity and image quality. For the test images, when the embedding capacity is less than 5bits per codeword index, the difference of the PSNR values between the stego-image and its VQ-compressed cover image will be no more than 5dB on average.