ITR/SY (CISE) Geometrical Image Representation

该研究的目的是构建一种图像表示，以提高现有图像压缩算法的性能，并以一种适合于快速模式识别和搜索算法的形式来组织信息。该方法依赖于最近发现的带状小波正交基，这种正交基能够适应曲线并有效地表示图像轮廓。这项工作还将在图形匹配等领域的先前工作的基础上进行并纳入其中。开发这一领域的新技术可以极大地提高未来图像搜索引擎的效率。

The proposed research is aimed at constructing an image representation that improves performances of current image compression algorithms and organizes the information in a form suitable for fast patter discrimination and search algorithms. The approach relies on recently discovered bandlelet orthogonal bases, which can be adapted to curves and efficiently represent image profiles. The work will also build on and incorporate previous work in such areas as graphs matching. Developing new techniques in this area can greatly improve the efficiency of future image search engines.