但是，由于超分辨率图像重构本身是一个病态求逆过程，在重构图像中所产生的边缘振荡效应往往很难在重构过程中予以消除。
However, due to the ill-posed nature of the super-resolution image reconstruction, the ringing artifacts can not be easily removed in the reconstruction process.
实验结果表明，该算法在有效消除边缘振荡效应的同时，极大地提高了超分辨率图像重构的速度。
Experimental results show that the proposed algorithm has got a significant increase of efficiency while reducing the ringing artifacts effectively.
该文分别从成像过程和压缩过程两个方面讨论了超分辨率重构过程需要考虑的因素，同时指出了运动估计和运动补偿在超分辨率重构中的重要性。
In this paper, we introduce the main factor during imaging and compression and discuss the importance of motion estimation and compensation in super-resolution construction.
为了解决单幅低分辨率人脸图像重构问题，提出了基于线性物体类理论重构超分辨率人脸图像的新方法。
A new super-resolution face image reconstruction method based on linear object-class theory is proposed to deal with the problem of low-resolution face images.
低分辨率图像的信噪比(SNR)和图像之间的配准误差对超分辨率重构效果的影响是该技术应用在遥感领域的瓶颈。
The influence of Signal-to-noise ratio (SNR) of low-resolution images and registration error among them on the super-reconstruction of images is the bottle-neck in the field of remote sensing.
影像超分辨率重建是通过对多幅具有互补信息的低分辨率影像的处理，重构一幅高分辨率影像的技术。
Super resolution (SR) image reconstruction is a technique to recover a high resolution image from several low resolution images using the non-redundant information among them.
影像超分辨率重建是通过对多幅具有互补信息的低分辨率影像的处理，重构一幅高分辨率影像的技术。
Super resolution (SR) image reconstruction is a technique to recover a high resolution image from several low resolution images using the non-redundant information among them.
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