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.
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.
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。
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