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    • 2. 发明授权
    • Unit for and method of motion estimation and image processing apparatus provided with such motion estimation unit
    • 具有运动估计单元的运动估计单元和图像处理装置的方法
    • US06925124B2
    • 2005-08-02
    • US10277587
    • 2002-10-22
    • Gerard Anton LunterAnna Pelagotti
    • Gerard Anton LunterAnna Pelagotti
    • G06T7/20H04N7/12
    • G06T7/238G06T2207/10016
    • The motion estimation unit (100) comprises a block-matcher (102) for calculating a start motion vector (110) by minimizing a predetermined cost function as a matching criterion for the block (116) of pixels with a further block of pixels (122) of a further image (120). The motion estimation unit (100) further comprises an optical flow analyzer (104) for calculating an update motion vector (111) based on the start motion vector (110) and which is designed to find the most appropriate set of optical flow equations corresponding to respective pixels of the block (116) of pixels. This is achieved by analyzing gradient vectors of optical flow equations for pixels of the block (116) of pixels. Finally the selector 106 of the motion estimation unit (100) selects the motion vector (126) by comparing the start motion vector (110) with the update motion vector (111).
    • 运动估计单元(100)包括块匹配器(102),用于通过使具有另外的像素块(122)的像素块(116)的匹配准则最小化预定成本函数来计算开始运动矢量(110) )另一图像(120)。 运动估计单元(100)还包括光流分析器(104),用于基于开始运动矢量(110)计算更新运动矢量(111),并且被设计为找到对应于 像素块(116)的各个像素。 这通过分析像素块(116)的像素的光流方程的梯度向量来实现。 最后,运动估计单元(100)的选择器106通过将开始运动矢量(110)与更新运动矢量(111)进行比较来选择运动矢量(126)。
    • 3. 发明授权
    • Motion estimation and motion-compensated interpolition
    • 运动估计和运动补偿插值
    • US06385245B1
    • 2002-05-07
    • US09156935
    • 1998-09-18
    • Gerard De HaanRobert J. SchuttenAnna Pelagotti
    • Gerard De HaanRobert J. SchuttenAnna Pelagotti
    • H04N712
    • H04N5/145H04N7/0112H04N19/51
    • In a method of estimating motion, at least two motion parameter sets are generated (PE1-PEn) from input video data (n, n−1), a motion parameter set being a set of parameters describing motion in an image, by means of which motion parameter set motion vectors can be calculated. One motion parameter set indicates a zero velocity for all image parts in an image, and each motion parameter set has corresponding local match errors. Output motion data are determined from the input video data (n, n−1) in dependence on the at least two motion parameter sets, wherein the importance of each motion parameter set in calculating the output motion data depends on the motion parameter sets' local match errors.
    • 在估计运动的方法中,从输入视频数据(n,n-1)生成至少两个运动参数集(PE1-PEn),运动参数集是描述图像中运动的一组参数,借助于 可以计算哪些运动参数集运动矢量。 一个运动参数集表示图像中所有图像部分的零速度,并且每个运动参数集具有相应的局部匹配误差。 根据输入视频数据(n,n-1),根据至少两个运动参数集确定输出运动数据,其中在计算输出运动数据时设定的每个运动参数的重要性取决于运动参数集的局部 匹配错误
    • 5. 发明授权
    • Reducing halo-like effects in motion-compensated interpolation
    • 减少运动补偿插值中的晕圈效应
    • US07039109B2
    • 2006-05-02
    • US10046626
    • 2002-01-14
    • Anna PelagottiRobert Jan Schutten
    • Anna PelagottiRobert Jan Schutten
    • H04N7/12
    • H04N7/0132H04N5/145H04N5/21H04N7/014H04N19/102H04N19/139H04N19/577
    • The invention relates to a motion-compensated interpolation of a data-signal, which data-signal comprises successive images wherein each image comprises groups of pixels, in which motion vectors are generated (18), each motion vector corresponding to a group of pixels of one image, between a group of pixels of said one image and a second group of pixels of another image in the data-signal, and interpolated results are obtained (16) as a function of these motion vectors. In accordance with the present invention, the reliability of each motion vector corresponding to a particular group of pixels is estimated (20), weights are calculated as a function of the reliability of the motion vectors, and interpolated luminous intensities of groups of pixels are generated for an interpolated image by calculating, on the basis of these weights, weighted averages of the interpolated results.
    • 本发明涉及一种数据信号的运动补偿内插,该数据信号包括连续图像,其中每个图像包括其中生成运动矢量的像素组(18),每个运动矢量对应于一组像素 获得(16)作为这些运动矢量的函数的所述一个图像的像素组和数据信号中的另一图像的第二组像素之间的一个图像。 根据本发明,估计与特定的像素组对应的每个运动矢量的可靠性(20),根据运动矢量的可靠性来计算权重,生成像素组的内插发光强度 对于内插图像,通过基于这些权重计算内插结果的加权平均。
    • 7. 发明授权
    • Motion vector estimation and detection of covered/uncovered image parts
    • 覆盖/未覆盖图像部分的运动矢量估计和检测
    • US06219436B1
    • 2001-04-17
    • US09181160
    • 1998-10-28
    • Gerard De HaanAnna Pelagotti
    • Gerard De HaanAnna Pelagotti
    • G06K900
    • H04N19/51G06T7/20
    • In a method of detecting covered and uncovered parts in an image to be interpolated between neighboring previous (I) and next (III) input images, backward motion vectors from the next input image to the previous input image, and having corresponding backward estimation errors, and forward motion vectors from the previous input image to the next input image, and having corresponding forward estimation errors, are determined, uncovered and covered parts are detected in the neighboring previous and next input images, respectively, in the thus detected uncovered parts, uncovered parts in the image to be interpolated are detected by determining second backward estimation errors by comparing both neighboring previous and next input images when partially shifted over the backward motion vectors to a temporal location of said image to be interpolated, and by comparing the second backward estimation errors to a threshold, and in the thus detected covered parts, covered parts in the image to be interpolated are detected by determining second forward estimation errors by comparing both neighboring previous and next input images when partially shifted over the forward motion vectors to a temporal location of the image to be interpolated, and by comparing the second forward estimation errors to the threshold.
    • 在相邻的前一(I)和下一(III)输入图像之间检测要插值的图像中的覆盖和未覆盖部分的检测方法中,从下一个输入图像到先前输入图像的后向运动矢量,并具有相应的后向估计误差, 并且确定在未被覆盖的部分中相邻的前一个和下一个输入图像中检测到未覆盖的和覆盖的部分被检测到,并且具有相应的正向估计误差的前向运动矢量被发现 通过将部分地在后向运动矢量上移位的相邻的前一个和下一个输入图像之间的两个相对于要插值的图像的时间位置进行比较来确定第二后向估计误差来检测要插值的图像中的部分,并且通过比较第二后向估计 错误到阈值,以及在这样检测到的覆盖部分中,图像中被覆盖的部分 通过在将前向运动矢量部分移位到待内插的图像的时间位置时将相邻的前一个和下一个输入图像进行比较,并且将第二前向估计误差与阈值进行比较,来确定第二前向估计误差来检测内插。