一种非线性的分形图像压缩编码算法  

Nonlinear Algorithm for Fractal Image Compression Coding

作　　者：赵德平[1] 王光兴[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《东北大学学报（自然科学版）》2003年第7期655-657,共3页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(69973033).

摘　　要：针对经典的分形压缩编码字典相对较小这一不足之处,提出一个简单的非线性分形压缩算法,简化了Popeseu等提出的算法,用于解决压缩字典较小的问题·此外,还根据这个算法给出计算整数象素点灰度值的计算公式,可以快速地计算出整数点的灰度值·实验结果表明,这一新型的分形圆盘压缩算法简单可行,并具有良好的压缩结果和高质量的重建图像·和常规分形编码方法相比,该方法还具有较高的PSNR·A classical fractal compression dictionary is relatively small. A simple and nonlinear disk algorithm was designed to overcome this defect. It simplifies the disk algorithm by Popeseu etc. A computation formula of the gray value of integral pixel point was given according to the nonlinear disk algorithm. It can quickly compute gray value of integral pixel point in the image. The new fractal disk algorithm is simple,has better compression results,and generates highquality rebuilding image. It also has better PSNR than the conventional fractal image compression coding.

关 键 词：分形图像 分形编码 圆盘算法 压缩字典 重建图像 

分 类 号：TP317[自动化与计算机技术—计算机软件与理论]