Reversible Data Hiding Based on VQ Compression Code

• Published in: 2011 Fifth International Conference on Genetic and Evolutionary Computing pp. 208 - 211
• Main Authors: Chin-Feng Lee, Ming-Chi Shih
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-08-2011
• Subjects: Bit rate; Data mining; Image coding; Image process; Image restoration; Index table; Indexes; Payloads; Reversible data hiding; Vector quantization; Vector quantization (VQ)
• ISBN: 9781457708176; 1457708175
• DOI: 10.1109/ICGEC.2011.57

Reversible data hiding technique makes it possible to extract out embedded secret data and restore the cover image without any distortion. In 2010, Wang et al. proposed a lossless data hiding technique based on vector quantization (VQ) compression encoding. It uses difference values around index to design three strategies for embedding secret data. However, length of encoding hugely expands after data being embedded into every index value. This paper proposes a reversible data hiding technique based on vector quantization encoding, which can reduced the transmission codes. The new method not only restores the original index table, but also effectively reduces the length of code stream. Moreover, in this scheme, each block has the embedding capacity of 3 bits of secret data.