Optical flow determination using pyramidal block matching

    公开(公告)号:US09681150B2

    公开(公告)日:2017-06-13

    申请号:US14737904

    申请日:2015-06-12

    CPC classification number: H04N19/53 H04N19/56

    Abstract: An image processing system includes a processor and optical flow determination logic. The optical flow determination logic is to quantify relative motion of a feature present in a first frame of video and a second frame of video with respect to the two frames of video. The optical flow determination logic configures the processor to convert each of the frames of video into a hierarchical image pyramid. The image pyramid comprises a plurality of image levels. Image resolution is reduced at each higher one of the image levels. For each image level and for each pixel in the first frame, the processor is configured to establish an initial estimate of a location of the pixel in the second frame and to apply a plurality of sequential searches, starting from the initial estimate, that establish refined estimates of the location of the pixel in the second frame.

    METHOD AND APPARATUS FOR REAL-TIME SAO PARAMETER ESTIMATION
    42.
    发明申请
    METHOD AND APPARATUS FOR REAL-TIME SAO PARAMETER ESTIMATION 审中-公开
    用于实时对比参数估计的方法和装置

    公开(公告)号:US20150036738A1

    公开(公告)日:2015-02-05

    申请号:US14447062

    申请日:2014-07-30

    Abstract: The disclosure provides a sample adaptive offset (SAO) encoder. The SAO encoder includes a statistics collection (SC) block and a rate distortion optimization (RDO) block coupled to the SC block. The SC block receives a set of deblocked pixels and a set of original pixels. The SC block categorizes each deblocked pixel of the set of deblocked pixels in at least one of a plurality of band and edge categories. The SC block estimates an error in each category as difference between a deblocked pixel of the set of deblocked pixels and corresponding original pixel of the set of original pixels. The RDO block determines a set of candidate offsets associated with each category and selects a candidate offset with a minimum RD cost. The minimum RD cost is used by a SAO type block and a decision block to generate final offsets for the SAO encoder.

    Abstract translation: 本公开提供了一种采样自适应偏移(SAO)编码器。 SAO编码器包括统计收集(SC)块和耦合到SC块的速率失真优化(RDO)块。 SC块接收一组去块像素和一组原始像素。 SC块将多个带和边缘类别中的至少一个中的去块像素组的每个解块像素进行分类。 SC块将每个类别中的误差估计为该组去块像素的解块像素与该原始像素组中相应的原始像素之间的差。 RDO块确定与每个类别相关联的候选偏移集合,并且选择具有最小RD成本的候选偏移量。 最小RD成本由SAO类型块和决策块用于生成SAO编码器的最终偏移量。

    Methods and systems for filtering noise in video data
    43.
    发明授权
    Methods and systems for filtering noise in video data 有权
    用于滤波视频数据中的噪声的方法和系统

    公开(公告)号:US08665376B2

    公开(公告)日:2014-03-04

    申请号:US13857443

    申请日:2013-04-05

    Abstract: Several systems and methods for filtering noise from a picture in a picture sequence associated with video data are disclosed. In an embodiment, the method includes accessing a plurality of pixel blocks associated with the picture and filtering noise from at least one pixel block from among the plurality of pixel blocks. The filtering of noise from a pixel block from among the at least one pixel block includes identifying pixel blocks corresponding to the pixel block in one or more reference pictures associated with the picture sequence. Each identified pixel block is associated with a cost value. One or more pixel blocks are selected from among the identified pixel blocks based on associated cost values. Weights are assigned to the selected one or more pixel blocks and set of filtered pixels for the pixel block is generated based on the weights.

    Abstract translation: 公开了用于从与视频数据相关联的图像序列中的图像中滤除噪声的几种系统和方法。 在一个实施例中,该方法包括访问与图像相关联的多个像素块,并从多个像素块中的至少一个像素块滤除噪声。 从所述至少一个像素块中的像素块的噪声的滤波包括​​识别与所述图像序列相关联的一个或多个参考图像中与所述像素块相对应的像素块。 每个识别的像素块与成本值相关联。 基于相关联的成本值,从所识别的像素块中选择一个或多个像素块。 将权重分配给所选择的一个或多个像素块,并且基于权重生成用于像素块的滤波像素的集合。

    COMBINED PREDICTION WITH VARIABLE WEIGHT IN SCALABLE EXTENSION OF HEVC
    44.
    发明申请
    COMBINED PREDICTION WITH VARIABLE WEIGHT IN SCALABLE EXTENSION OF HEVC 有权
    HEV的可扩展重量的组合预测

    公开(公告)号:US20130271664A1

    公开(公告)日:2013-10-17

    申请号:US13857443

    申请日:2013-04-05

    Abstract: Several systems and methods for filtering noise from a picture in a picture sequence associated with video data are disclosed. In an embodiment, the method includes accessing a plurality of pixel blocks associated with the picture and filtering noise from at least one pixel block from among the plurality of pixel blocks. The filtering of noise from a pixel block from among the at least one pixel block includes identifying pixel blocks corresponding to the pixel block in one or more reference pictures associated with the picture sequence. Each identified pixel block is associated with a cost value. One or more pixel blocks are selected from among the identified pixel blocks based on associated cost values. Weights are assigned to the selected one or more pixel blocks and set of filtered pixels for the pixel block is generated based on the weights.

    Abstract translation: 公开了用于从与视频数据相关联的图像序列中的图像中滤除噪声的几种系统和方法。 在一个实施例中,该方法包括访问与图像相关联的多个像素块,并从多个像素块中的至少一个像素块滤除噪声。 从所述至少一个像素块中的像素块的噪声的滤波包括​​识别与所述图像序列相关联的一个或多个参考图像中与所述像素块相对应的像素块。 每个识别的像素块与成本值相关联。 基于相关联的成本值,从所识别的像素块中选择一个或多个像素块。 将权重分配给所选择的一个或多个像素块,并且基于权重生成用于像素块的滤波像素的集合。

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