基于四叉树的图象数据压缩

Quadtree-based Image Data Compression

本文提出了一种改进的图象四叉树表示法，讨论了此表示法用于图象数据压缩的原理，给出了图象数据的压缩模型和算法．并用五幅不同学型的图象进行了试验。结果表明，对于二值图象，其压缩比可达１８％以上，对于灰阶图象约为７％。

An improved representation for transforming images into quadtrees and quadtrees into images is proposed. The principle of using the representation of the image data compression has been descussed. Quadtree-based model of image data compression and algorithm are presented. The algorithm has been tested in five pieces of differenf images. Experimental results show that the ration of image data compression is more than 18% for binary images and about 7% for gray level images.