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Superresolution performance for undersampled imagers

机译:under采样的成像仪的超级化性能

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The enhancement of undersampled imager performance has been demonstrated using super-resolution techniques. In these techniques, the optical flow of the scene or the relative sub-pixel shifts between frames is calculated and a high resolution grid is populated with spatial data based as a result of scene motion. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager output compared to a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with super-resolution frame sequence, dynamic image with undersampled imager, and dynamic image with super-resolution frame sequence.
机译:使用超分辨率技术证明了提高了UnderApple的成像器性能。在这些技术中,计算帧之间的场景或相对子像素偏移的光学流,并且由于场景运动而基于空间数据填充高分辨率网格。与通过在动态场景中通过帧系列获取的静态图像相比,对具有下采样的成像器输出的静态图像的静态图像的情况已经证明了性能增强。在这项研究中,比较了性能四种情况:静态图像与下采样的成像器,具有超分辨率帧序列的静态图像,具有下采样的成像器的动态图像,以及具有超分辨率帧序列的动态图像。

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