基于分形集的图像压缩方法

分形图像编码是一种极具发展前途的图像压缩方法,但由于其发展时间较短,还有许多问题尚待解决,其中较为突出的是,在很长的编码时间和较高的压缩比下重构图像质量尚不能令人满意。提出了一种新颖的分形图像压缩算法,即基于Julia集的分形图像压缩方法。该算法采用Julia曲线集合作为压缩编码字典,使用自适应四叉树法实现图像压缩。通过计算机模拟实验结果显示,此算法具有较高的图像压缩比和高质量的重建图像,编码速度提高也很明显。

Set based on Fractal Image Compression Method

Fractal image compression is an extremely promising image compression method,but because of its shorter development time,there are a number of problems remain to be solved,one of the more prominent is very long coding time and higher compression ratios reconstruction image quality is still not satisfactory. This article presents a new type of fractal image compression algorithm,based on the Julia set of fractal image compression method. The algorithm uses the Julia curves collection as the compression dictionary,using Adaptive QuadTree image compression. Through computer simulation results display,this algorithm has a high compression ratio and high image quality of Planar,encoding speed is also very obvious.