摘要
在传统的压缩编码技术中，采样均遵循奈奎斯特定律，该定律规定采样速率要高于原信号频率的两倍。针对这一方法无法克服的巨大计算量及资源浪费，将最近提出的压缩感知理论用于图像压缩编码，可大大降低采样速率，该文着重讨论了基于压缩感知理论的图像压缩算法，仿真实验证明了这一算法的可行性。
The Nyquist law is applied to all the conventional compression coding algorithms, which prescribes that the sampling rate must be at least as twice as the signal frequency. As this algorithm leads to enormous calculation and resource waste, compressed sensing could be applied to image compression to reduce the account the sampling rate, several experiments are presented.
作者
张锐
ZHANG Rui （Southwest Jiaotong University, Chengdu 610031, China）
出处
《电脑知识与技术》
2010年第2期958-959,共2页
Computer Knowledge and Technology
关键词
压缩感知
低速采样
图像压缩
compressed sensing
low-speed sampling
image compression
