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首页> 外文会议>Conference on Real-Time Image Processing; 20080128-29; San Jose,CA(US) >Noise suppression in video sequences applying fuzzy vectorial directional algorithms
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Noise suppression in video sequences applying fuzzy vectorial directional algorithms

机译：应用模糊矢量定向算法的视频序列噪声抑制

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摘要

The usage of spatial-temporal information is more efficient than just their usage in a separate way. It has been designed a new fuzzy logic adaptive scheme applying directional and fuzzy processing technique with motion detection and spatial-temporal filtering of video sequences. The proposed method can distinguish the uniform regions, edges and details features in the images decreasing the processing time charges, taking only in account the samples, which demonstrate high level of corruption or motion. The algorithm runs adapting spatial-temporal information to smooth an additive noise. The non-stationary noise, which left after temporal algorithm, is removed employing a magnitude algorithm that is adapted using parameters obtained during the filtering. The designed algorithm is compared with other filters found in literature, showing the effectiveness of proposed fuzzy logic filtering approach.
机译：时空信息的使用比单独使用时空信息更有效。已经设计了一种新的模糊逻辑自适应方案，该方案采用了方向性和模糊处理技术，并对视频序列进行了运动检测和时空滤波。所提出的方法可以区分图像中的均匀区域，边缘和细节特征，从而减少处理时间费用，仅考虑样本即可证明高水平的失真或运动。该算法运行适应时空信息以平滑加性噪声。使用在滤波过程中获得的参数进行调整的幅度算法，可以消除在时间算法之后留下的非平稳噪声。将设计的算法与文献中发现的其他滤波器进行了比较，证明了所提出的模糊逻辑滤波方法的有效性。

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