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    • 6. 发明授权
    • Distributing candidate vectors based on local motion complexity
    • 基于局部运动复杂度分布候选向量
    • US08467452B2
    • 2013-06-18
    • US10585443
    • 2005-01-04
    • Erwin Bellers
    • Erwin Bellers
    • H04N7/12H04N11/02H04N11/04H04N5/14H04N9/64H03M7/34G01N21/25
    • H04N19/137H04N19/56H04N19/57
    • A system and method for distributing candidate motion vectors divides a picture frame (110) into a plurality of segments (120), where each segment (120) includes a plurality of pixel blocks (130). The local motion complexity of each segment may then be measured by determining a Sum-of-Absolute Differences (SAD) between pixel blocks (130) of the frame (110a) and pixel blocks (130)of an adacent frame (110b) and summing the SAD values for the pixel blocks (130) within each segment (120). The maximum, minimum and average SAD value for the segments may be used to define a distribution function that distributes candidate vectors to conform with a desired maximum, minimum and average number of candidate vectors per block. This distribution function is then used to determine the number of candidate vectors to assign to pixel blocks (130) based on the measured SAD value of the associated segment (120).
    • 用于分发候选运动矢量的系统和方法将图片帧(110)分成多个片段(120),其中每个片段(120)包括多个像素块(130)。 然后可以通过确定帧(110a)的像素块(130)和相邻帧(110b)的像素块(130)之间的绝对值之和(SAD)来求出每个片段的局部运动复杂度, 每个段(120)内的像素块(130)的SAD值。 可以使用段的最大值,最小值和平均SAD值来定义分布函数,其分配候选向量以符合每个块的期望的最大,最小和平均数量的候选向量。 然后,该分布函数用于基于所测量的相关段(120)的SAD值来确定要分配给像素块(130)的候选向量的数量。
    • 7. 发明申请
    • Post-processing of interpolated images
    • 内插图像的后处理
    • US20050030424A1
    • 2005-02-10
    • US10639421
    • 2003-08-05
    • Gerard De HaanErwin Bellers
    • Gerard De HaanErwin Bellers
    • H04N5/44H04N7/01H04N11/20
    • H04N7/0135H04N7/012
    • An image conversion unit (100) for converting an input image into an output image is disclosed. The image conversion unit (100) comprises: first computing means (104) for computing a first weighted sum of a first group of pixel values, the first group of pixel values corresponding to pixels of the input image; second computing means (102) for computing a second weighted sum of a second group of interpolated values, the second group of interpolated values being computed by means of interpolation for spatial locations which are not present at the sampling grid of the input image; combining means (106) for computing a third sum by combining the first weighted sum and the second weighted sum; and clipping means (108) for clipping the third sum between a minimum value and a maximum value, the minimum value and the maximum value derived from pixel values of the input image.
    • 公开了一种用于将输入图像转换为输出图像的图像转换单元(100)。 图像转换单元(100)包括:第一计算装置(104),用于计算第一组像素值的第一加权和,对应于输入图像的像素的第一组像素值; 第二计算装置(102),用于计算第二组内插值的第二加权和,所述第二组内插值通过对输入图像的采样网格处不存在的空间位置进行插值来计算; 用于通过组合所述第一加权和和所述第二加权和来计算第三和的组合装置(106) 以及用于限制最小值和最大值之间的第三和的限幅装置(108),从输入图像的像素值导出的最小值和最大值。