针对秘密图像共享产生无意义影子图像的问题,为了减少影子图像的噪点,把秘密图像分割成小块,并重新分组;然后通过比较图像块相似度把秘密图像共享到载体图像中,得到含有秘密图像的马赛克图像;最后采用可逆的信息隐藏技术,把位置信息隐...针对秘密图像共享产生无意义影子图像的问题,为了减少影子图像的噪点,把秘密图像分割成小块,并重新分组;然后通过比较图像块相似度把秘密图像共享到载体图像中,得到含有秘密图像的马赛克图像;最后采用可逆的信息隐藏技术,把位置信息隐藏到马赛克图像中,得到有意义的影子图像。实验表明,该算法可以提高影子图像的质量,与Zhai等人的算法相比,马赛克图像的PSNR平均提高了7 d B。结论证明该算法增强和保障了秘密图像的安全性和完整性。展开更多
To reduce the cost, size and complexity, a consumer digital camera usually uses a single sensor overlaid with a color filter array(CFA) to sample one of the red-green-blue primary color values, and uses demosaicking a...To reduce the cost, size and complexity, a consumer digital camera usually uses a single sensor overlaid with a color filter array(CFA) to sample one of the red-green-blue primary color values, and uses demosaicking algorithm to estimate the missing color values at each pixel. A novel image correlation and support vector machine(SVM) based edge-adaptive algorithm was proposed, which can reduce edge artifacts and false color artifacts, effectively. Firstly, image pixels were separated into edge region and smooth region with an edge detection algorithm. Then, a hybrid approach switching between a simple demosaicking algorithm on the smooth region and SVM based demosaicking algorithm on the edge region was performed. Image spatial and spectral correlations were employed to create middle planes for the interpolation. Experimental result shows that the proposed approach produced visually pleasing full-color result images and obtained higher CPSNR and smaller S-CIELAB*ab?E than other conventional demosaicking algorithms.展开更多
文摘针对秘密图像共享产生无意义影子图像的问题,为了减少影子图像的噪点,把秘密图像分割成小块,并重新分组;然后通过比较图像块相似度把秘密图像共享到载体图像中,得到含有秘密图像的马赛克图像;最后采用可逆的信息隐藏技术,把位置信息隐藏到马赛克图像中,得到有意义的影子图像。实验表明,该算法可以提高影子图像的质量,与Zhai等人的算法相比,马赛克图像的PSNR平均提高了7 d B。结论证明该算法增强和保障了秘密图像的安全性和完整性。
基金Projects(51174258,11105002)supported by the National Natural Science Foundation of ChinaProject(KJ2013B087)supported by Anhui Provincial Natural Science Research Projects in Central Universities,China+1 种基金Projects(2011B31,2013A4017)support by the Guidance Science and Technology Plan Projects of Huainan,ChinaProject(2012QNZ06)supported by the Youth Foundation of Anhui University of Science&technology of China
文摘To reduce the cost, size and complexity, a consumer digital camera usually uses a single sensor overlaid with a color filter array(CFA) to sample one of the red-green-blue primary color values, and uses demosaicking algorithm to estimate the missing color values at each pixel. A novel image correlation and support vector machine(SVM) based edge-adaptive algorithm was proposed, which can reduce edge artifacts and false color artifacts, effectively. Firstly, image pixels were separated into edge region and smooth region with an edge detection algorithm. Then, a hybrid approach switching between a simple demosaicking algorithm on the smooth region and SVM based demosaicking algorithm on the edge region was performed. Image spatial and spectral correlations were employed to create middle planes for the interpolation. Experimental result shows that the proposed approach produced visually pleasing full-color result images and obtained higher CPSNR and smaller S-CIELAB*ab?E than other conventional demosaicking algorithms.
