结合初级视皮层特性的感兴趣区域数字水印算法  

Novel ROI Watermarking Scheme Combined with the Behavior of Primary Visual Cortex

作　　者：吕皖丽[1] 郭玉堂[1,2] 罗斌[1] 

机构地区：[1]安徽大学计算机科学与技术学院,合肥230039 [2]安徽省教育学院计算机科学与技术系,合肥230061

出　　处：《电子科技大学学报》2011年第6期915-920,共6页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(61003038));安徽高等学校省级自然科学研究重点项目(KJ2009A145)

摘　　要：提出一种新的结合初级视皮层特性的感兴趣区域图像数字水印算法,尽可能最大限度地保护图像的主题内容。Berkeley变换是一种符合视皮层V1区特性的完全正交小波变换,视觉特性好,计算速度快。水印提取过程采用独立分量分析,真正实现了盲水印提取。实验表明,算法自动搜寻主题内容,透明性较好,对常见的攻击具有很好的鲁棒性,更重要的是,在对图像背景作大面积删除后,仍然能提取出高质量的数字水印。If obvious objects in an image are deleted, the image would be meaningless. The protection of the image contents is imminence. A novel image watermarking scheme combined with the behavior of primary visual cortex is proposed. The Berkeley wavelet transform shares many characteristics with the receptive fields of neurons in mammalian primary visual cortex （VI）. The watermark is embedded into the region-of-interest （ROI） position of an image. Independent component analysis （ICA） is adapted to the watermark extraction procedure and the original image is not necessary. Experimental results demonstrate that the proposed watermarking technique successfully locates ROI position automatically, has a good vision performance and robustness against some attacks as J-PEG compress, noises, and little rotation and scale, luminance and contrast enhancement and low pass filtering. More importantly, the proposed scheme can extract the watermarks with high quality even if majority background of an original image is removed.

关 键 词：BeNelcy小波变换 ICA ROI 数字水印 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]