摘要
SPIHT算法是一种实用、高效的小波零树图像编码算法。针对SPIHT算法存储空间需求大、运算复杂度较高等缺点,提出了一种改进的快速、低存储SPIHT算法,该算法将小波变换所形成的水平、垂直、对角和低频4个子带分成4个处理单元,对每个处理单元分别进行量化编码,并在各单元之间采取近似最优比特分配以提高量化性能。实验结果表明,改进算法在提高峰值信噪比等性能指标的同时,有效地减少了算法的存储需求及运算时间。
SPIHT（set partitioning in hierarchical tree） algorithm is a wavelet based zerotree image encoding algorithm known for its high efficiency. However, its high memory requirement and long execute time consumption are obstacles to implement real-time compression. This paper presents a new fast and low memory image zerotree encoding algorithm. This algorithm processes wavelet coefficients of horizontal, vertical, diagonal and low frequency subband respectively, and a nearly optimal bit allocation stage is applied in the above subband to get better compression performance. Experimental results show this algorithm outperforms the original SPIHT algorithm in PSNR and efficiently reduces both the memory requirement and the time consumption.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第15期46-48,共3页
Computer Engineering
关键词
图像编码
小波变换
零树量化
SPIHT
比特分配
image encoding
wavelet transform
zerotree quantization
set partitioning in hierarchical tree （SPIHT）
bit allocation
