An adaptive data hiding scheme with high embedding capacity and visual image quality based on SMVQ prediction through classification codebooks

被引：27

作者：

Lee, Chin-Feng ^{[1
]}

Chen, Hsing-Ling ^{[2
]}

Lai, Shu-Hua ^{[1
]}

机构：

[1] Chaoyang Univ Technol, Dept Informat Management, Wufong Township 41349, Taichung County, Taiwan

[2] Chaoyang Univ Technol, Doctoral Program, Grad Inst Informat, Wufong Township 41349, Taichung County, Taiwan

来源：

IMAGE AND VISION COMPUTING | 2010年 / 28卷 / 08期

关键词：

Data hiding; Image quality of stego-image; Embedding capacity; Side-match vector quantization; SMVQ prediction; SIDE-MATCH; VECTOR; ALGORITHM;

D O I：

10.1016/j.imavis.2010.01.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study exploits the characteristics of image blocks to develop an adaptive data hiding scheme that is based on SMVQ prediction. Since human beings' eyes are highly sensitive to smooth images, changes in smooth cause great distortion and attract the attention of interceptors. Hence, this study proposes a data embedding scheme for embedding secret data into edge blocks and non-sufficiently smooth blocks. The experimental results show that the proposed scheme improves the quality of the stego-image and the embedding capacity. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1293 / 1302

页数：10

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