摘要
为了缩短分形编码时间,通过对图像定义域块和值域块的统计特性分析,提出了改进的分形压缩算法。设计最优匹配定义域块自适应搜索方法,缩短搜索范围;用值域块均值代替灰度偏移量,减少计算量。实验证明,运用这种改进的分形图像压缩算法进行图像压缩,在保持较高的解压图像质量的情况下,大幅缩短图像压缩编码时间。
By analyzing the image statistical properties of range blocks and domain blocks,this paper designed the adaptive search algorithm by optimally matching domain blocks. It deduced that coding time could be shortened by the mean value of range blocks instead of the gray offset. The experiment results indicate that there are faster coding speed and higher decoding image quality using the fast fractal code algorithm.
出处
《信息技术》
2015年第6期55-57,62,共4页
Information Technology
基金
浙江省可视媒体智能处理技术研究重点实验室开放基金项目(2013010)
关键词
改进分形编码
图像压缩
最优匹配
灰度偏移量
improved fractal code
image compression
optimal matching
gray offset
