High-capacity image hiding scheme based on vector quantization

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摘要

A novel grayscale image hiding scheme that is capable of hiding multiple secret images into a host image of the same size is proposed in this paper. The secret images to be hidden are first compressed by vector quantization with additional index compression process. Then, the compressed secret images are encrypted and embedded into the least-significant bits of the host pixels. To provide good image quality of the stego-image, the modulus function and the image property are employed to hide the secret bits into the host pixels and determine the number of hidden bits in each host pixel, respectively. According to the results, the proposed scheme provides a higher hiding capacity and a higher degree of security than that of the virtual image cryptosystem.

论文关键词:Image hiding,Image compression,Vector quantization,Index compression,DES

论文评审过程:Received 27 September 2005, Accepted 8 February 2006, Available online 30 March 2006.

论文官网地址:https://doi.org/10.1016/j.patcog.2006.02.005