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    • 6. 发明申请
    • NOISE REDUCTION PRE-PROCESSOR FOR DIGITAL VIDEO USING PREVIOUSLY GENERATED MOTION VECTORS AND ADAPTIVE SPATIAL FILTERING
    • 使用先前产生的运动矢量和自适应空间滤波的数字视频噪声预处理器
    • WO2003017676A2
    • 2003-02-27
    • PCT/US2002/024867
    • 2002-08-07
    • GENERAL INSTRUMENT CORPORATIONWU, Siu-WaiCHEN, Jing, Yang
    • WU, Siu-WaiCHEN, Jing, Yang
    • H04N7/26
    • G06T5/50G06T5/002G06T2207/10016G06T2207/20182G06T2207/20192H04N19/117H04N19/137H04N19/139H04N19/142H04N19/15H04N19/172H04N19/194H04N19/40H04N19/615H04N19/80
    • Noise is reduced in a video system by applying motion compensated temporal filtering using previously generated motion vectors and adaptive spatial filtering at scene change frames. Various types of noise can be introduced into video prior to compression and transmission. Artifacts arise from recording and signal manipulation, terrestrial or orbital communications, or during decoding. Noise introduced prior to image compression interferes with performance and subsequently impairs system performance: While filtering generally reduces noise in a video image, it can also reduce edge definition leading to loss of focus. Filtering can also tax system throughput, since increased computational complexity often results from filtering schemes. Furthermore, the movement of objects within frames, as defined by groups ofpixels, complicates the noise reduction process by adding additional complexity. In addition to improvements made to FIR spatial filtering, the present invention improves on previous filtering techniques by using Infinite Impulse Response (IIR) temporal filtering to reduce noise while maintaining edge definition. It also uses motion vectors previously calculated as part of the first-pass image encoding or alternatively by trans coding to reduce computational complexity for P-frame and B-frame image preprocessing. Single stage P-frame temporal noise filtering and double stage B-frame temporal noise filtering are presented.
    • 通过使用先前产生的运动矢量和场景变换帧的自适应空间滤波应用运动补偿时间滤波,在视频系统中降低噪声。 在压缩和传输之前,可以将各种类型的噪声引入到视频中。 人造物从记录和信号处理,地面或轨道通信或解码过程中产生。 在图像压缩之前引入的噪声会干扰性能,从而影响系统性能:虽然滤波通常会降低视频图像中的噪声,但它也可以减少边缘定义,导致失去焦点。 过滤还可以对系统吞吐量进行税收,因为增加的计算复杂度通常来自于过滤方案。 此外,由像素组定义的帧内的对象的移动使噪声降低过程复杂化,增加了额外的复杂性。 除了对FIR空间滤波进行的改进之外,本发明通过使用无限脉冲响应(IIR)时间滤波来降低噪声同时保持边缘定义来改进先前的滤波技术。 它还使用先前作为第一遍图像编码的一部分计算的运动矢量,或者通过反编码来减少P帧和B帧图像预处理的计算复杂度。 提出了单级P帧时间噪声滤波和双级B帧时域噪声滤波。