Vector quantization and signal compression
Vector quantization and signal compression
Decrypted secrets: methods and maxims of cryptology
Decrypted secrets: methods and maxims of cryptology
A method for obtaining digital signatures and public-key cryptosystems
Communications of the ACM
BPCS steganography using EZW lossy compressed images
Pattern Recognition Letters
A watermarking technique based on one-way hash functions
IEEE Transactions on Consumer Electronics
Watermark embedding: hiding a signal within a cover image
IEEE Communications Magazine
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Reversible index-domain information hiding scheme based on side-match vector quantization
Journal of Systems and Software
Lossless recovery of a VQ index table with embedded secret data
Journal of Visual Communication and Image Representation
Visualization of vector quantization
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
An embedding technique based upon block prediction
Journal of Systems and Software
VQ indexes compression and information hiding using hybrid lossless index coding
Digital Signal Processing
Data hiding based on compressed VQ indices of images
Computer Standards & Interfaces
Reversible data hiding based on histogram modification of SMVQ indices
IEEE Transactions on Information Forensics and Security
A reversible information hiding scheme based on vector quantization
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Lossless data hiding for VQ indices based on neighboring correlation
Information Sciences: an International Journal
A novel VQ-based reversible data hiding scheme by using hybrid encoding strategies
Journal of Systems and Software
Low bit-rate information hiding method based on search-order-coding technique
Journal of Systems and Software
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Compared with various information-hiding techniques on the spatial domain proposed previously, VQ-based information hiding technique has not been paid much attention. As a result, we present a steganographic scheme based on the search-order coding (SOC) compression method of vector quantization (VQ) indices in this paper. The major goal is to embed secret data into the compression codes of the host image such that the interceptors will not notice the existence of secret data. In the proposed scheme, the embedding process induces no extra coding distortion and adjusts the bit rate according to the size of secret data. According to the experimental results, it is confirmed that the proposed scheme yields a good and acceptable compression ratio of the image. In addition, the receiver can efficiently receive both the compressed image and the embedded data almost at the same time.