Removing camera shake from a single photograph
Removing camera shake from a single photograph
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DOI：
10.1145/1141911.1141956
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发表时间：
2006-07-01
影响因子：
6.2
通讯作者：
Freeman, William T.
中科院分区：
文献类型：
--
作者：
Fergus, Rob;Singh, Barun;Freeman, William T.
曝光过程中相机抖动会导致令人不快的图像模糊，并毁掉许多照片。传统的盲解卷积方法通常假定图像的频域约束，或者在相机抖动期间过度简化的运动路径的参数形式。真实的相机运动可以沿着曲折的路径进行，而空间域先验可以更好地保持视觉上显著的图像特征。我们介绍了一种消除严重模糊图像中相机抖动影响的方法。该方法假定图像上有均匀的相机模糊和可以忽略的面内相机旋转。为了估计相机抖动产生的模糊，用户必须指定一个没有饱和效果的图像区域。我们展示了从个人照片收藏中拍摄的各种数字照片的结果。
Camera shake during exposure leads to objectionable image blur and ruins many photographs. Conventional blind deconvolution methods typically assume frequency-domain constraints on images, or overly simplified parametric forms for the motion path during camera shake. Real camera motions can follow convoluted paths, and a spatial domain prior can better maintain visually salient image characteristics. We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation. In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects. We show results for a variety of digital photographs taken from personal photo collections.