Method of multisensor image fusion And digital watermarking

LI Xin-e; BAN Hao; REN Jian-yue; JIN Long-xu; LI Guo-ning

doi:10.3788/YJYXS20142902.0286

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Method of multisensor image fusion And digital watermarking

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- Method of multisensor image fusion And digital watermarking
- Chinese Journal of Liquid Crystals and Displays Vol. 29, Issue 2, Pages: 286-292(2014)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
  3. 长春水务集团信息中心,吉林长春,130012
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20142902.0286
  CLC： TP391.4
- Received：29 October 2013，
  
  Revised：25 November 2013，
  
  Published：05 March 2014
- 稿件说明：
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李新娥, 班皓, 任建岳, 金龙旭, 李国宁. 一种多传感器图像融合与数字水印技术[J]. 液晶与显示, 2014,29(2): 286-292

LI Xin-e, BAN Hao, REN Jian-yue, JIN Long-xu, LI Guo-ning. Method of multisensor image fusion And digital watermarking[J]. , 2014,29(2): 286-292
李新娥, 班皓, 任建岳, 金龙旭, 李国宁. 一种多传感器图像融合与数字水印技术[J]. 液晶与显示, 2014,29(2): 286-292 DOI： 10.3788/YJYXS20142902.0286.

LI Xin-e, BAN Hao, REN Jian-yue, JIN Long-xu, LI Guo-ning. Method of multisensor image fusion And digital watermarking[J]. , 2014,29(2): 286-292 DOI： 10.3788/YJYXS20142902.0286.

摘要

在小波包域提出了一种多传感器图像融合和双水印算法。首先，利用HIS变换和小波包变换将多光谱和全色图像分解为多个高低频子带，根据小波包域系数特点，低频部分采用基于区域平均能量加权算法的规则进行融合，高频部分采用绝对值取大的规则进行融合。然后，在高低频图像融合系数分别嵌入一个水印，低频水印利用了离散余弦变换的聚能去相关能力，高频水印利用了图像纹理子块特征。最后，对嵌入的双水印融合图像进行攻击和分析。实验结果显示，融合图像在保留多光谱图像光谱信息的基础上有效提高了空间分辨率；加水印的融合图像具有良好的不可视性和鲁棒性。

Abstract

A method of multisensor image fusion and bi-watermarking based on Wavelet Packet Transform(WPT)is proposed in this paper. First

the multispectral and panchromatic images are decomposed into more different frequency subbands by HIS and WPT transform. Due to the properties of the WPT coefficients

a regional energy weighting image fusion algorithm is presented for the low frequency subband coefficients

and for the high frequency subband coefficients

the algorithm uses the absolute value maximum selectivity scheme. Then

the watermarks are embedded in the low and high frequency of the fusion image wavelet packet decomposition. The low frequency watermark uses the DCT energy compression ability and the ability of ridding correlation

and the high frequency watermark uses the streak blocks of the fusion image. Finally

the watermarked fusion image is attacked. The experimental results show that

the watermarked fusion image keeps good spectral information and spatial resolution

and the watermarks embedded in the fusion image are robust and invisible.

关键词

Keywords

references

Wang Z L, Wan H J, Zhang A D, et al.A New remote-sensed image fusion using wavelet packet transform with the best basis[C].Proc of SPIE, 2008, 7147(714713):1-8.[2] Cox I, Kilian J, Leighton T, et al.Secure spread spectrum watermarking for multimedia[J].IEEE Transactions on Image Processing, 1997, 6(12): 1673-1687.[3] CARPER W J, LILLESAND T M, Kiefer R W. The use of intensity hue saturation transform for merging SPOT panchromatic and multispectral image data[J].Photogramm Eng.Remote Sens., 1990, 56(4):459-467.[4] Chibani Y, Houacine A. Redundant versus orthogonal wavelet decomposition for multisensor image fusion[J].Pattern Recognition, 2003, 36(4): 879-887.[5] 楚恒, 朱维乐. 基于DCT变换的图像融合方法研究[J]. 光学精密工程, 2006, 14(2):266-273. Chu H, Zhu W L. Image fusion algorithms using discrete cosine transform[J].Opt. Precision Eng., 2006, 14(2):266-273. (in Chinese)[6] 李新娥, 王珂, 崔艳秋. 基于小波包变换和离散余弦变换的双水印算法[J]. 中国图象图形学报, 2007, 12 (1):61-67. Li X E, Wang K, Cui Y Q. A WPT and DCT based bi-watermarking algorithm[J].Journal of Image and Graphics, 2007, 12(1):61-67. (in Chinese)[7] 王昕. 含噪声图像的多聚焦融合算法[J]. 光学精密工程, 2011, 19(12):2977-2984. Wang X. Multi-focus fusion algorithm for noisy images[J].Opt. Precision Eng., 2011, 19(12): 2977-2984. (in Chinese)[8] 李旭东. 抗亮度和对比度攻击的DCT域图像数字水印算法[J]. 光电子激光, 2013, 24(6):1184-1190. Li X D.Image digital watermarking algorithm in DCT domain for resisting brightness-and-contrast adjusting attack[J].Journal of OptoelectronicsLaser, 2013, 24(6):1184-1190. (in Chinese)[9] 唐艳秋, 张星祥, 李新娥, 等. 基于人眼视觉灰度识别特性的图像动态范围小波变换处理方法[J]. 液晶与显示, 2012, 27(3):385-390. Tang Y Q, Zhang X X, Li X E, et al.Image processing method of dynamic range with wavelet transform based on human visual gray recognition characteristics[J].Chinese Journal of Liquid Crystals and Displays, 2012, 27(3):385-390. (in Chinese)[10] 陈小林, 王延杰非下采样变换的红外与可见光图像融合中国光学[J]. 中国光学, 2011, 4(5):489-496. Chen X L, Wang Y J. Infrared and visible image fusion based on nonsubsampled Contourlet transform[J].Chinese Optics, 2011, 4(5):489-496. (in Chinese)

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