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Reconstruction of a HR image by simultaneous POCS and regularized block matching

机译:通过同时POCS和规则块匹配重建HR图像

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摘要

In the reconstruction of high resolution (HR) images from low resolution (LR) image frames, the accuracy in the inter-frame motion estimation is a critical factor. With a motivation that motion estimated over the reconstructed HR frames would have higher accuracy, several attempts have been made to perform motion estimation and HR reconstruction simultaneously. In this paper, we propose a HR reconstruction method, in which a regularized block matching for motion estimation and POCS-based reconstruction are performed in turns. In experimental results, regularized block matching produces reliable motion estimation since the motion of an image pixel is highly correlated with the motion in neighboring region. The improved accuracy of the motion estimation results in higher PSNR of the reconstructed HR images.
机译:从低分辨率(LR)图像帧重构高分辨率(HR)图像时,帧间运动估计的准确性是一个关键因素。为了在重构的HR帧上估计出的运动具有更高的精度,已经进行了几次尝试以同时执行运动估计和HR重构。在本文中,我们提出了一种HR重建方法,其中轮流执行用于运动估计的正则化块匹配和基于POCS的重建。在实验结果中,由于图像像素的运动与相邻区域的运动高度相关,因此规则块匹配可产生可靠的运动估计。运动估计准确性的提高导致重建的HR图像具有更高的PSNR。

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