首页> 外文期刊>Computational Imaging, IEEE Transactions on >Hand-Held Video Deblurring Via Efficient Fourier Aggregation
【24h】

Hand-Held Video Deblurring Via Efficient Fourier Aggregation

机译:通过高效的傅立叶聚合进行手持视频去模糊

获取原文
获取原文并翻译 | 示例

摘要

Videos captured with hand-held cameras often suffer from a significant amount of blur, mainly caused by the inevitable natural tremor of the photographer’s hand. In this work, we present an algorithm that removes blur due to camera shake by combining information in the Fourier domain from nearby frames in a video. The dynamic nature of typical videos with the presence of multiple moving objects and occlusions makes this problem of camera shake removal extremely challenging, in particular when low complexity is needed. Given an input video frame, we first create a consistent registered version of temporally adjacent frames. Then, the set of consistently registered frames is block-wise fused in the Fourier domain with weights depending on the Fourier spectrum magnitude. The method is motivated from the physiological fact that camera shake blur has a random nature; therefore, nearby video frames are generally blurred differently. Experiments with numerous videos recorded in the wild, along with extensive comparisons, show that the proposed algorithm achieves state-of-the-art results while at the same time being much faster than its competitors.
机译:手持摄像机拍摄的视频通常会遭受大量的模糊,这主要是由于摄影师手不可避免的自然震颤所引起的。在这项工作中,我们提出了一种算法,该算法通过结合视频中附近帧中的傅立叶域中的信息来消除由于相机抖动造成的模糊。典型视频的动态特性以及多个运动对象和遮挡的存在,使得去除摄像机抖动的问题极具挑战性,尤其是在需要低复杂度的情况下。给定输入视频帧,我们首先创建时间相邻帧的一致注册版本。然后,将一组一致配准的帧在傅立叶域中进行块化融合,权重取决于傅立叶频谱幅度。该方法基于生理事实,即相机抖动模糊具有随机性;因此,附近的视频帧通常会有不同的模糊。通过大量野外录制的视频进行的实验以及广泛的比较表明,该算法可实现最新的结果,同时比其竞争对手快得多。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号