摘要
重点研究了水印压缩的几种方法(DFT、DCT和小波变换)以及它们的性能分析;提出了采用径向基快速分类算法的神经网络进行自适应水印嵌入的方法,它具有计算效率高、性能好的特点。最后简单介绍了彩色图像的水印技术。实验仿真说明了该方法的有效性。
With the development of the computer applications and digital technology, the research on watermarking has been the hot topic now. Several methods are introduced about watermarking compression(DFT,DCT,WT) and their performance analyses are given, and the algorithm based on RBF neural network for fast classification is presented for adaptive watermarking embedding, which has higher efficiency and better performance. The watermarking technology for color images is introduced briefly in the end. All the simulation is carried out under the MATLAB 6.5.
出处
《洛阳理工学院学报(自然科学版)》
2010年第3期56-61,共6页
Journal of Luoyang Institute of Science and Technology:Natural Science Edition