实验证明，考虑运动模糊的改进POCS超分辨率重建算法能够有效地克服振荡效应，提高图像分辨率。
Experimental results prove that the improved POCS algorithm considering the motion blurs can effectually reduce the oscillation effect and advance the image spatial resolution.
对工业自动化中拍摄的CFA低分辨率图像的实验结果表明，我们改进后的算法能鲁棒、精确、高效地对彩色图像进行超分辨率重建。
The experimental results regarding to the LR CFA images captured in factory automation show that our improved algorithm can produce color SR images robustly, accurately and efficiently.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
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