摘要在传统采样过程中, 为了避免信号失真, 采样频率不得低于信号最高频率的2 倍.
然而对于数字图像, 视频的获取, 依照香农(Shannon) 定理会导致海量采样数据 …

Compressive sensing (CS) is an emerging approach for the acquisition of signals having a
sparse or compressible representation in some basis. While the CS literature has mostly …

Low-complexity video encoding has been applicable to several emerging applications.
Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity …

This paper presents the design of a networked system for joint compression, rate control and
error correction of video over resource-constrained embedded devices based on the theory …

Recently, using compressive sensing (CS) as a cryptosystem has drawn attention due to its
compressibility and low-complexity during the sampling process. However, when applying …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

We present a novel computational imaging system with high resolution and low noise. Our
system consists of a traditional video camera which captures high-resolution intensity …

Compressed sensing (CS) has emerged as a promising technique to jointly sense and
compress sparse signals. One of the most promising applications of CS is compressive …

压缩感知(或称压缩采样) 是国际上近期出现的一种信息理论. 其核心思想是只要某高维信号是可
压缩的或在某个变换域上具有稀疏性, 就可以用一个与变换基不相关的测量矩阵将该信号投影到 …

Compressive sampling is a novel framework in signal acquisition and reconstruction, which
achieves sub-Nyquist sampling by exploiting the sparse nature of most signals of interest. In …