A novel SVD- and VQ-based image hiding scheme

被引：120

作者：

Chung, KL ^{[1
]}

Shen, CH ^{[1
]}

Chang, LC ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Inst Comp Sci & Informat Engn, Dept Informat Management, Taipei 10672, Taiwan

来源：

PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 09期

关键词：

compression; data hiding; image hiding; PSNR; singular value decomposition; steganography; vector quantization;

D O I：

10.1016/S0167-8655(01)00044-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel singular value decomposition (SVD)- and vector quantization (VQ)-based image hiding scheme to hide image data. Plugging the VQ technique into the SVD-based compression method, the proposed scheme leads to good compression ratio and satisfactory image quality. Experimental results show that the embedding image is visually indistinguishable from the stego-image. (C) 2001 Published by Elsevier Science B.V.

引用

页码：1051 / 1058

页数：8

共 18 条

[1]

ANDERSON RJ, 1996, LECT NOTES COMPUTER, V1174, P39

[2] SINGULAR VALUE DECOMPOSITION (SVD) IMAGE-CODING [J].