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基于边缘优化a-trous小波的实时图像增强Real-time Image Enhancement Using Edge-Optimized a-trous Wavelets |
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| 课程网址: | http://videolectures.net/nipsworkshops2011_lensch_wavelets/ |
| 主讲教师: | Hendrik Lensch |
| 开课单位: | 图宾根大学 |
| 开课时间: | 2012-01-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Edge-avoiding a-trous wavelets (EAAW) offer an elegant and simple way for advanced real-time image smoothing and contrast enhancement. Based on the bilateral filter, edge-avoiding wavelets perform multi-resolution analysis. By optimizing the edge weights to match the edge shape at every scale contrast enhancement can be obtained without the typically encountered artifacts of halos or gradient reversals. We demonstrate examples of real-time aging, as well as smooth reconstruction of noisy Monte Carlo simulations. In addition, an edge-avoiding wavelet framework is presented to emphasize monocular depth cues in 2D images captured with a stereo camera. We demonstrate that these enhanced depth cues can aid the human in 3D search tasks on traditional monitors without degenerating the image. |
| 关 键 词: | 实时图像; 双边滤波器; 单眼深度线索 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 45 |