摘要
本文结合指令级并行 32位定点处理器的结构特点 ,对JPEG算法中DCT、量化及Huffman编码等步骤 ,提出一些适于并行处理算法和数据结构的优化方法 ,以有效发挥其高速并行的性能 .模拟结果表明本文的方法显著提高了JPEG算法并行实现的效率 。
This paper describes some methods on optimizing parallel processing and data structure for DCT,quantization,and Huffman coding of JPEG algorithm with parallel instruction of 32 bits fixed point processors,in order to develop its parallel processing capability effectively.The result of simulation indicates that the methods obviously speed up parallel implementation of JPEG Algorithm,being applicable to the real time image compression.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2002年第2期160-162,共3页
Acta Electronica Sinica
关键词
图像压缩
并行处理
流水线
JPEG算法
优化
image compression
parallel processing
pipeline
JPEG algorithm
optimization
