第三章，是对视频去噪算法的研究。
本文提出的视频去噪算法是一种鲁棒的基于运动估计的自适应时空域视频去噪算法。
The video deinterlacing algorithm, recommended in this paper, is a robust algorithm based on motion compensation and self-adapting spatiotemporal filter.
对视频采集到的板材纹理图像进行灰度化、中值滤波去噪、二值化、腐蚀、膨胀等处理，得到仅包含目标纹理的图像后检测纹理边缘。
Treat with plate grain image got by video using methods of gray level transformation, median filter, erosion, expansion and so on, gain the image which only includes grain, then detect brim of grain.
针对视频图像存在由于环境、光照等原因所引起的噪声的特点，应用基于空间域、频域、小波域和时域等多种去噪方法。
Filtering algorithms base on space, frequency, wavelet and time have been introduced to reduce noises caused by environmental and lighting conditions in the video image sequences.
在海面运动舰船视频的预处理中，讨论了视频序列的单帧图像的去噪问题。
Noise filtering for single frame from video sequence is discussed in the preprocess step of moving vessel detection at sea.
接着与对常用的公共视频数据库以及视频图像去噪技术进行了讨论与分析，为后续的处理打下了坚实的基础。
Then the author has discussed and analyzed with the usual public video datasets and the denoising techniques for video and image processing, which has laid a solid foundation for the next step.
接着与对常用的公共视频数据库以及视频图像去噪技术进行了讨论与分析，为后续的处理打下了坚实的基础。
Then the author has discussed and analyzed with the usual public video datasets and the denoising techniques for video and image processing, which has laid a solid foundation for the next step.
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