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非均匀的去模糊图像动摇Non-uniform Deblurring for Shaken Images |
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| 课程网址: | http://videolectures.net/cvpr2010_whyte_ndsp/ |
| 主讲教师: | Oliver Whyte,; WILLOW; INRIA |
| 开课单位: | 法国国家信息与自动化研究所 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Blur from camera shake is mostly due to the 3D rotation of the camera, resulting in a blur kernel that can be significantly non-uniform across the image. However, most current deblurring methods model the observed image as a convolution of a sharp image with a uniform blur kernel. We propose a new parametrized geometric model of the blurring process in terms of the rotational velocity of the camera during exposure. We apply this model to two different algorithms for camera shake removal: the first one uses a single blurry image (blind deblurring), while the second one uses both a blurry image and a sharp but noisy image of the same scene. We show that our approach makes it possible to model and remove a wider class of blurs than previous approaches, including uniform blur as a special case, and demonstrate its effectiveness with experiments on real images. |
| 关 键 词: | 盲去模糊; 3D旋转; 模糊核 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-15：yumf |
| 阅读次数: | 90 |