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An Information-Hiding Scheme Based on Quantization-Based Embedding Technique

Lu T-C., Chang C-C., Liu Y-L.

Fundamenta Informaticae

2009

Vol. 91, nr 3-4

597-610

Information hiding is a technique that embeds secret data in digital media for using in a variety of applications, including ownership protection, authentication, access control, annotation and so on. In this paper, we propose an information hiding scheme based on quantization-based embedding technique to conceal information in gray-scale image. The proposed scheme was tested with a variety of gray images. According to the experimental results, hidden information can be extracted correctly and quickly from the stego image. In addition, the stego image has only a little distortion compared with the cover image. The proposed scheme can not only hide a large amount of information in the cover image, but can also repair the stego image such that the repaired image is almost the same as the cover image.

VQ Codebook Searching Algorithm Based on Correlation Property

Chang C-C., Lu T-C., Ya J-B.

Fundamenta Informaticae

2007

Vol. 76, nr 1-2

39-57

In this paper, we shall present two efficient codebook-matching schemes with a locally adaptive vector quantizer (LAVQ) and a search-ordering coding vector quantizer (SOCVQ) to be applied in the Vector Quantization (VQ) encoding system. The proposed codebook-matching schemes exploit the correlation property between adjacent image blocks so that the process of codebook matching can be speed up. Simulation results show that the time complexity of the proposed schemes is lower than those of PCA, Multipath TSVQ, and DPTSVQ. Moreover, the image quality of the proposed methods is close to those processed by the other methods.