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首页> 外文会议>IEEE International Conference on Acoustics, Speech and Signal Processing;ICASSP >Multi-frame super-resolution from observations with zooming motion
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Multi-frame super-resolution from observations with zooming motion

机译：通过缩放运动观察得到多帧超分辨率

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摘要

This paper proposes a new multi-frame super-resolution (SR) approach to reconstruct a high-resolution (HR) image from low-resolution (LR) images with zooming motion. Existing SR methods often assume that the relative motion between acquired LR images consists of only translation and possibly rotation. This restricts the application of these methods in cases when there is zooming motion among the LR images. There are currently only a few methods focusing on zooming SR. Their formulation usually ignores the registration errors or assumes them to be negligible during the HR reconstruction. In view of this, this paper presents a new SR reconstruction approach to handle a more flexible motion model including translation, rotation and zooming. An iterative framework is developed to estimate the motion parameters and HR image progressively. Both simulated and real-life experiments show that the proposed method is effective in performing image SR.
机译：本文提出了一种新的多帧超分辨率（SR）方法，该方法可以通过缩放运动从低分辨率（LR）图像中重建高分辨率（HR）图像。现有的SR方法通常假定所获取的LR图像之间的相对运动仅包括平移并且可能包括旋转。这在LR图像之间有变焦运动的情况下限制了这些方法的应用。当前只有几种方法专注于缩放SR。它们的表述通常会忽略配准错误，或者假定它们在HR重建期间可以忽略不计。有鉴于此，本文提出了一种新的SR重建方法，以处理更灵活的运动模型，包括平移，旋转和缩放。开发了一个迭代框架来逐步估计运动参数和HR图像。仿真和实际实验均表明，该方法有效地进行了图像SR。

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