Data hiding of high compression ratio in VQ indices with neighboring correlations
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As the progressive development of information and communication technology, the security and integrity of data transmission through public network have become important issues. Thus information hiding for images is one of the main research issues to maintain the data security and integrity. This paper proposed a data hiding method on the indices of VQ compression. For an index table of VQ compression, neighboring indices have similar index values in a great chance. Exploiting neighboring correlation among VQ indices, the proposed data hiding can enhance the embedding capacity and bit rate of encoding. In addition, our method can use the output bit stream to reconstruct the cover image. Experimental results show the proposed scheme performs better in average comparing with Lee et al.’s method  in 2013.
KeywordVector quantization Information hiding Reversible data hiding Image compression
This research was partially supported by the National Science Council of the Republic of China under the Grant NSC 100-2221-E-015-001-MY2- and NSC 102-2221-E-015-001-.
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