基于细分小波的图像压缩算法研究

The Study of Image Compression Algorithm Based on Subdivision Wavelet

层次细节模型LOD（Level of detail）和感兴趣区域模型ROI（Region of Interesting）是静止图像压缩及网络传输技术中两个重要模型。通过将灰度图像网格化，并在图像网格上进行B样条细分小波变换，实现了图像的LOD压缩算法。并通过Gouraud明暗处理技术将网格还原成压缩过的灰度图像；同时，该算法还可方便地通过ROI区域选择，使ROI区域比背景区域获得更好的图像质量。

LOD（ Level of Detail ） and ROI（ Region of Interesting） model are two important techniques for still image compression and network transmission. In this article, the gray - scale image LOD scheme is realized by image meshing and B spline subdivision wavelet transform. Then the compressed mesh is reconstructed to gray - scale image by applying Gouraud shading algorithm. At the same time, the ROI region is selected to gain a better image quality than background region.