[1]刘宏申 彭国志 王朋飞 刘凯.一种基于纠错编码技术的盲数字水印算法[J].计算机技术与发展,2010,(12):177-180.
　LIU Hong-shen,PENG Guo-zhi,WANG Peng-fei,et al.A Novel Blind Watermarking Algorithm Based on Error Correcting Coding Technique[J].,2010,(12):177-180.
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一种基于纠错编码技术的盲数字水印算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2010年12期
页码:
177-180
栏目:
安全与防范
出版日期:
1900-01-01

文章信息/Info

Title:
A Novel Blind Watermarking Algorithm Based on Error Correcting Coding Technique
文章编号:
1673-629X（2010）12-0177-04
作者:
刘宏申 彭国志 王朋飞 刘凯
安徽工业大学计算机学院
Author(s):
LIU Hong-shen; PENG Guo-zhi; WANG Peng-fei; LIU Kai
School of Computer Science ＆ Technology,Anhui University of Technology
关键词:
数字水印; 纠错编码; 量化; DCT变换; Arnold置乱
Keywords:
digital watermarking;  error correcting coding;  quantization;  DCT transform;  Arnold scrambling
分类号:
TP301.6
文献标志码:
A
摘要:
目前基于离散余弦变换的图像数字水印技术水印大多都不能盲提取。提出一种基于量化的鲁棒性数字水印技术。首先,对水印信息进行纠错编码提高水印的鲁棒性,并通过Arnold置乱对水印信息进行加密;然后将原始载体图像经过8×8分块DCT变换后,根据预处理后的水印数据量选定水印嵌入位置;最后对DCT系数进行量化同时完成水印信息的嵌入。本算法实现了水印的盲提取。实验表明,文中水印方法实现简单,具有较好的稳健性和不可见性,能有效抵抗噪声J、PEG有损压缩、滤波等恶意攻击
Abstract:
Most of existing DCT based image watermark algorithms are non-blind.A robust digital watermarking algorithm based on quantifying and error correcting coding technique is proposed.Firstly,the watermark information was error-correcting encoded to improve its robustness and encrypted by Arnold scrambling;Secondly,the original host image is subdivided into 8×8 DCT blocks, the embedding positions were determined based on the size of preprocessed watermark image;Finally,the coefficients of each blocks were quantified based on watermark embedding algorithm,the watermarked host image is obtained.The watermark can be extracted from the watermarked host image without reference to the original host image.The experimental results show that the scheme is realized easily,and the embedded watermark is imperceptible and robust against various image processing operations such as noising,JPEG lossy compression,filtering and other interferences

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备注/Memo

备注/Memo:
安徽省优秀青年科研资助项目（2008jq1031）刘宏申（1962-），男，安徽宣城人，教授，研究方向为计算机图像处理，模式识别
更新日期/Last Update: 1900-01-01