Adaptive Data Hiding Based on SMVQ Prediction(Application Information Security)

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概要

• 論文の詳細を見る

• An adaptive data hiding scheme capable of hiding considerable quantities of secret data while preserving acceptable visual quality for cover images is proposed. The major idea of this scheme is to hide secret data into the compressed codes of cover image during the encoding process of side-match vector quantization (SMVQ) such that the interceptors will not capture the secret information. Based on the experimental results, it is confirmed that the proposed scheme is better than earlier works. Moreover, the receiver can efficiently receive both the compressed cover image and the hidden secret data at the same time.

• 社団法人電子情報通信学会の論文
• 2006-01-01

著者

• Shie Shih-chieh

  Department Of Computer Science And Information Engineering National Dong Hwa University

• Shie Shih‐chieh

  National Formosa Univ. Yunlin County Twn

• Lin Shinfeng

  Department Of Computer Science And Information Engineering National Dong Hwa University

• Fang Chih-ming

  Department Of Computer Science And Information Engineering National Dong Hwa University

• LIN Shinfeng

  Department of Computer Science and Information Engineering, National Dong Hwa University

関連論文

• Image Compression with Wavelet-Based Vector Quantization
• Adaptive Data Hiding Based on SMVQ Prediction(Application Information Security)

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