Algorithms For Image Super-Resolution Reconstruction 图像超分辨率重建算法
An adaptive filter for video image sequence super resolution reconstruction is proposed on the basis of the weighted least square and PDE regularization in this paper.
在加权最小二乘的基础上，结合PDE正则化，提出了一种视频图像序列超分辨率重建的自适应滤波方法。
The algorithm also provides a reliability measure of the estimated result, which was introduced into the super-resolution image reconstruction to overcome the influence of the estimation error.
给出了运动估计的置信度度量，并将其引入到图像恢复算法中，进一步克服了运动估计误差的影响。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
讨论了图像成像的基本模型，并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
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