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Generating sharp images, panoramas, and videos from motion-blurred videos

机译:从运动模糊的视频生成清晰的图像,全景图和视频

摘要

A “Blur Remover” provides various techniques for constructing deblurred images from a sequence of motion-blurred images such as a video sequence of a scene. Significantly, this deblurring is accomplished without requiring specialized side information or camera setups. In fact, the Blur Remover receives sequential images, such as a typical video stream captured using conventional digital video capture devices, and directly processes those images to generate or construct deblurred images for use in a variety of applications. No other input beyond the video stream is required for a variety of the embodiments enabled by the Blur Remover. More specifically, the Blur Remover uses joint global motion estimation and multi-frame deblurring with optional automatic video “duty cycle” estimation to construct deblurred images from video sequences for use in a variety of applications. Further, the automatically estimated video duty cycle is also separately usable in a variety of applications.
机译:“模糊去除器”提供了用于从运动模糊图像序列(例如场景的视频序列)构造去模糊图像的各种技术。重要的是,这种去模糊处理无需特殊的辅助信息或摄像机设置即可完成。实际上,模糊消除器接收顺序图像,例如使用常规数字视频捕获设备捕获的典型视频流,并直接处理这些图像以生成或构建去模糊的图像,以供各种应用使用。对于由模糊去除器实现的各种实施例,除了视频流之外,不需要其他输入。更具体地说,模糊去除器使用联合全局运动估计和多帧去模糊以及可选的自动视频“占空比”估计来从视频序列构造去模糊图像,以用于各种应用。此外,自动估计的视频占空比也可以在各种应用中单独使用。

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