Development of a network image processing system with encryption functions

提出了一种新的适合信号和图像处理需要的提升小波滤波器的设计方法。在应用方面，我们使用我们的自适应滤波器开发了一个说话人识别系统和一个基于内容的图像检索系统（CBIR）。在说话人识别中，提出了提升小波滤波器的设计方法，有效地提取了说话人的特征。在基于内容的图像检索中，我们开发了一个基于小波变换的图像检索系统，并建立了一个基于社区的特征库。

We proposed a novel method for designing lifting wavelet filters which adapt to signal and image processing needs. In applications, we developed a speaker identification system and a content-based image retrieval system (CBIR) using our adaptive filters. In the speaker identification, we proposed to design the lifting wavelet filters so as to extract the personal features efficiently. In the CBIR, we develop an image retrieval system based on wavelet transforms and construct a community based feature database.