一个共同的视频被空间相关去噪的框架随机噪声和空间相关的固定模式噪声。首先，在每一卷的空间和时间上的相关性，利用sparsify数据在三维时空的变换域，然后3D体积的频谱系数的自适应阈值萎缩三维阵列。这样的阵列取决于特定的运动轨迹的体积，单个功率谱密度的随机和固定的模式噪声，以及噪声方差，自适应地估计在变换域。-The video was a common fixed pattern noise spatial correlation denoising framework random noise and space-related. First of all, in space and time correlation of each volume, use sparsify data in three-dimensional space transform domain adaptive threshold spectral coefficients 3D volume and shrinking three-dimensional array. Such an array depends on the particular trajectory volume, a single power spectral density of random and fixed pattern noise, and the noise variance, estimated adaptively transform domain.