向前运动去模糊

Shicheng Zheng, Li Xu, Jiaya Jia
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引用次数: 47

摘要

考虑到相机主要向前或向后移动,我们处理了一种特殊类型的运动模糊。解决这种类型的模糊具有独特的实际重要性,因为几乎所有的汽车,交通和自行车摄像机都遵循平面外平移运动。本文从几何模型的研究入手,分析了现有几何模型处理方法的难点。我们还提出了一个考虑深度变化的解决方案。在优化框架中考虑并求解与不同三维平面相关的同形异构。我们的方法在几个自然图像实例上得到了验证,这些实例是以往方法不能令人满意地处理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forward Motion Deblurring
We handle a special type of motion blur considering that cameras move primarily forward or backward. Solving this type of blur is of unique practical importance since nearly all car, traffic and bike-mounted cameras follow out-of-plane translational motion. We start with the study of geometric models and analyze the difficulty of existing methods to deal with them. We also propose a solution accounting for depth variation. Homographies associated with different 3D planes are considered and solved for in an optimization framework. Our method is verified on several natural image examples that cannot be satisfyingly dealt with by previous methods.
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