摘要
针对多级树集合划分编码算法(set partitioning in hierarchical trees,SPIHT)存在集合分割复杂,占用内存空间大的不足,提出了一种改进的新算法。该算法简化了分割排序策略,加入了幅值精细编码,在一定程度上克服了SPIHT图像编码算法的不足。实验结果表明,改进算法提高了编码速度,减少了内存的消耗,提高了图像复原的质量,是一种有效的图像压缩方法。
An improved image encoding algorithm based on the set partitioning in hierarchical trees (SPIHT) algorithm is presented to solve the drawbacks of the SPIHT algorithm, such as complex partition sorting and large memory. It revises the SPIHT's partition-sorting strategy. The experimental result shows that the improved a.lgorithm increases the coding speed, reduces the memory and improves the image recovery quality, so it is an efficient method for image encoding.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第10期1603-1605,共3页
Systems Engineering and Electronics
关键词
小波变换
压缩
零树编码
wavelet transform
compression
zerotree coding