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作 者:辛晨 崔炳德 王义 田志民 XIN Chen;CUI Bing-de;WANG Yi;TIAN Zhi-min(Computer Department,Hebei University of Water Resources and Electric Engineering,Cangzhou Hebei 061000,China)
机构地区:[1]河北水利电力学院计算机系
出 处:《计算机仿真》2019年第6期201-204,共4页Computer Simulation
摘 要:对水印图像进行抗攻击隐形优化处理,能够有效保护数字图像版权保护,对水印图像进行隐形优化处理,需要对高光谱水印图像中的第一谱段进行预测,并对像素预测参考值进行修正。传统方法建立高光谱水印图像编码块的边信息,并对边信息选择最优的预测阶数,但忽略了修正像素预测参考值,导致处理过程耗时长。提出基于多波段预测的水印图像抗攻击隐形优化处理方法,采用中值滤波器对高光谱水印图像中的第一谱段进行预测,消除谱间冗余;采用线性预测根据第一谱段内像素对当前谱段像素进行预测,获得当前像素预测参考值,建立上下文模型对像素预测参考值进行修正。采用8级查表搜索预测算法对水印图像各谱段像素进行预测,获得最终图像像素预测值,利用熵编码算法对该预测值嵌入编码获取水印图像抗攻击隐形优化处理结果。实验结果表明,所提方法处理过程运算时间短,且处理后的图像质量较优。Traditional method establishes the edge information of coding block in hyper-spectral watermark im age and selects the optimal prediction order of side information,but ignores the corrected pixel prediction reference value.Therefore,a method of invisible optimization for attack-resistant of watermark image based on multiband pre diction was presented.First of all,the median filter was used to predict the first spectral coverage in hyper-spectral watermark image and eliminate the inter-spectral redundancy.Then,linear prediction was used to predict the cur rent spectral pixel according to the pixel in the first spectral coverage,and the reference value of current pixel predic tion was obtained.In addition,the context model was built to correct the reference value of pixel prediction.Mean while,level-8 search table prediction algorithm was used to predict the pixel of each spectral coverage in the water mark image,so as to obtain the final prediction value of image pixel.Finally,the entropy coding algorithm was used to embed the coding into predictive value.Thus,we could obtain the result of invisible optimization of attack-resist ant of watermark image.Simulation results show that the operation time of proposed method is short.Meanwhile,the image quality after processing is better.
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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