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公开(公告)号：US08670075B2
公开(公告)日：2014-03-11
申请号：US12923476
申请日：2010-09-23
Applicant: Demin Wang , Andre Vincent , Philip Blanchfield , Robert Klepko
Inventor： Demin Wang , Andre Vincent , Philip Blanchfield , Robert Klepko
CPC classification number: H04N5/145 , G06T3/4007 , H04N13/111
Abstract: Methods of image interpolation disclosed herein include a method of irregular-grid expanded-block weighted motion compensation (IEWMC) and a method of block-wise directional hole interpolation (BDHI). The IEWMC can be used with unidirectional motion or disparity trajectories. The IEWMC can be applied in both forward and backward directions, and the interpolated images resulting from IEWMC application can be superimposed, or averaged, to reduce the blocking artifacts and handle the holes and overlaps. The BDHI takes into account the orientation of local edges and textures when filling the holes, which results in a sharper interpolated image.
Abstract translation: 本文公开的图像插值方法包括不规则网格扩展块加权运动补偿（IEWMC）的方法和块定向孔插入（BDHI）的方法。 IEWMC可以用于单向运动或视差轨迹。 IEWMC可以在向前和向后两个方向上应用，并且由IEWMC应用产生的内插图像可以叠加或平均，以减少块伪影并处理孔和重叠。 BDHI在填充孔时考虑到局部边缘和纹理的方向，这导致更清晰的内插图像。
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2.发明申请Learning Filters For Enhancing The Quality Of Block Coded Still And Video Images 失效学习过滤器用于提高块编码静态图像和视频图像的质量公开(公告)号：US20090034622A1
公开(公告)日：2009-02-05
申请号：US12184671
申请日：2008-08-01
Applicant: Gregory Huchet , Jean-Yves Chouinard , Demin Wang , Andre Vincent
Inventor： Gregory Huchet , Jean-Yves Chouinard , Demin Wang , Andre Vincent
CPC classification number: H04N19/86 , H04N19/117 , H04N19/154 , H04N19/176 , H04N19/182 , H04N19/46 , H04N19/61 , H04N19/82
Abstract: The invention relates to a method and an apparatus for reducing blocking artifacts in block-wise coding of still and video images. A learning filter generator is provided at the image encoder for generating a set of filters and associated filtering rules for filtering cross-boundary image patterns based on representative original and decoded training images using a supervised machine learning algorithm. An adaptive filter at the image decoder receives the generated filters and associated filtering rules and performs locally adaptive filtering in accordance with the received filtering rules.
Abstract translation: 本发明涉及一种用于减少静止图像和视频图像的块状编码中的块伪影的方法和装置。 在图像编码器上设置学习滤波器发生器，用于使用监督机器学习算法基于代表性的原始和解码的训练图像来生成一组滤波器和相关联的滤波规则，用于过滤跨边界图像模式。 图像解码器处的自适应滤波器接收生成的滤波器和相关联的滤波规则，并根据接收到的滤波规则执行本地自适应滤波。
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公开(公告)号：US20050196060A1
公开(公告)日：2005-09-08
申请号：US11068160
申请日：2005-03-01
Applicant: Demin Wang , Liang Zhang , Andre Vincent
Inventor： Demin Wang , Liang Zhang , Andre Vincent
CPC classification number: H04N19/63 , H04N19/124 , H04N19/13 , H04N19/61 , H04N19/619
Abstract: A curved wavelet transform and a related image/video compression system are disclosed. The curved wavelet transform (CWT) is carried out by applying one-dimensional (1-D) wavelet filters along curves, rather than along only horizontal and vertical directions. The image/video compression system includes a curve determination unit, a curved wavelet transform unit, a wavelet coefficient quantization unit, a wavelet coefficient coding unit, and a curve coding unit. The quantization and coding of the wavelet coefficients are related to the curves. In one embodiment, recursive wavelet filters are used for inverse wavelet decomposition. The system provides higher compression capability than conventional wavelet-based image compression systems.
Abstract translation: 公开了一种弯曲小波变换和相关图像/视频压缩系统。 曲线小波变换（CWT）通过沿着曲线应用一维（1-D）小波滤波器而不是沿着水平和垂直方向进行。 图像/视频压缩系统包括曲线确定单元，弯曲小波变换单元，小波系数量化单元，小波系数编码单元和曲线编码单元。 小波系数的量化和编码与曲线相关。 在一个实施例中，递归小波滤波器用于逆小波分解。 该系统比传统的基于小波的图像压缩系统提供更高的压缩能力。
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公开(公告)号：US5007935A
公开(公告)日：1991-04-16
申请号：US352643
申请日：1989-05-12
Applicant: Andre Vincent , Evrard Munting
Inventor： Andre Vincent , Evrard Munting
CPC classification number: A61F2/3601 , A61B17/742 , A61B17/746 , A61F2/30749 , A61F2002/30179 , A61F2002/30332 , A61F2002/30797 , A61F2002/30884 , A61F2002/3625 , A61F2002/365 , A61F2220/0008 , A61F2220/0033 , A61F2230/0058
Abstract: Joint member for a hip prosthesis having a joint head, a supporting portion including a supporting surface co-operating with a corresponding supporting surface on the proximal femur and fixation means members for securing joint head and supporting means portion to the femur, characterized in that a shankless and block-like supporting member (4, 41) includes at least a supporting surface (10, 11, 43, 44) disposed adjacent the joint head (2, 40) such that the corresponding femur supporting surface (7", 7') is adjacent the proximal medical femural cortex, in that further retaining means members (15, 21) are provided coacting with the proximal femur (7) and engaging the supporting member (4) through a bore (13') in the femur supporting surface (7") in order to exert a tensile force on the supporting member (4) laterally to press the supporting surface (10, 11) against the femur supporting surface (7", 7'), and in that the supporting member (4) and/or the retaining members are prevented from rotation about the axis of the femur neck.
Abstract translation: 用于具有关节头部的髋关节假体的关节构件，支撑部分，其包括与股骨近端上的对应支撑表面配合的支撑表面和用于将关节头部和支撑装置部分固定到股骨的固定装置构件，其特征在于， 柄部和块状支撑构件（4,41）至少包括邻近关节头（40,40）设置的支撑表面（10,11,43,44），使得相应的股骨支撑表面（7“，7” '）邻近近端医用股骨皮质，因为另外的保持装置部件（15,21）被设置成与股骨近端（7）共同作用并且通过支撑构件（4）通过股骨支撑的孔（13'）与支撑构件 表面（7“），以便横向地在支撑构件（4）上施加张力，以将支撑表面（10,11）压靠在股骨支撑表面（7”，7'）上，并且支撑 构件（4）和/或保持构件被防止 从股骨颈的轴线旋转。
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公开(公告)号：US07418144B2
公开(公告)日：2008-08-26
申请号：US11068160
申请日：2005-03-01
Applicant: Demin Wang , Liang Zhang , Andre Vincent
Inventor： Demin Wang , Liang Zhang , Andre Vincent
CPC classification number: H04N19/63 , H04N19/124 , H04N19/13 , H04N19/61 , H04N19/619
Abstract: A curved wavelet transform and a related image/video compression system are disclosed. The curved wavelet transform (CWT) is carried out by applying one-dimensional (1-D) wavelet filters along curves, rather than along only horizontal and vertical directions. The image/video compression system includes a curve determination unit, a curved wavelet transform unit, a wavelet coefficient quantization unit, a wavelet coefficient coding unit, and a curve coding unit. The quantization and coding of the wavelet coefficients are related to the curves. In one embodiment, recursive wavelet filters are used for inverse wavelet decomposition. The system provides higher compression capability than conventional wavelet-based image compression systems.
Abstract translation: 公开了一种弯曲小波变换和相关图像/视频压缩系统。 曲线小波变换（CWT）通过沿着曲线应用一维（1-D）小波滤波器而不是沿着水平和垂直方向进行。 图像/视频压缩系统包括曲线确定单元，弯曲小波变换单元，小波系数量化单元，小波系数编码单元和曲线编码单元。 小波系数的量化和编码与曲线相关。 在一个实施例中，递归小波滤波器用于逆小波分解。 该系统比传统的基于小波的图像压缩系统提供更高的压缩能力。
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Patent Agency Ranking
公开(公告)号：US2084527A
公开(公告)日：1937-06-22
申请号：US69040233
申请日：1933-09-21
Applicant: CYRILLE GUILBERT ANDRE VINCENT
Inventor： CYRILLE GUILBERT ANDRE VINCENT
IPC: H02K23/20
CPC classification number: H02K23/20 , Y10T307/25
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7.发明授权Learning filters for enhancing the quality of block coded still and video images 失效学习过滤器，用于提高块编码静止图像和视频图像的质量公开(公告)号：US08204128B2
公开(公告)日：2012-06-19
申请号：US12184671
申请日：2008-08-01
Applicant: Gregory Huchet , Jean-Yves Chouinard , Demin Wang , Andre Vincent
Inventor： Gregory Huchet , Jean-Yves Chouinard , Demin Wang , Andre Vincent
IPC: H04N7/12
CPC classification number: H04N19/86 , H04N19/117 , H04N19/154 , H04N19/176 , H04N19/182 , H04N19/46 , H04N19/61 , H04N19/82
Abstract: The invention relates to a method and an apparatus for reducing blocking artifacts in block-wise coding of still and video images. A learning filter generator is provided at the image encoder for generating a set of filters and associated filtering rules for filtering cross-boundary image patterns based on representative original and decoded training images using a supervised machine learning algorithm. An adaptive filter at the image decoder receives the generated filters and associated filtering rules and performs locally adaptive filtering in accordance with the received filtering rules.
Abstract translation: 本发明涉及一种用于减少静止图像和视频图像的块状编码中的块伪影的方法和装置。 在图像编码器上设置学习滤波器发生器，用于使用监督机器学习算法基于代表性的原始和解码的训练图像来生成一组滤波器和相关联的滤波规则，用于过滤跨边界图像模式。 图像解码器处的自适应滤波器接收生成的滤波器和相关联的滤波规则，并根据接收到的滤波规则执行本地自适应滤波。
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公开(公告)号：US20110069237A1
公开(公告)日：2011-03-24
申请号：US12923476
申请日：2010-09-23
Applicant: Demin Wang , Andre Vincent , Philip Blanchfield , Robert Klepko
Inventor： Demin Wang , Andre Vincent , Philip Blanchfield , Robert Klepko
IPC: H04N5/14
CPC classification number: H04N5/145 , G06T3/4007 , H04N13/111
Abstract: Methods of image interpolation disclosed herein include a method of irregular-grid expanded-block weighted motion compensation (IEWMC) and a method of block-wise directional hole interpolation (BDHI). The IEWMC can be used with unidirectional motion or disparity trajectories. The IEWMC can be applied in both forward and backward directions, and the interpolated images resulting from IEWMC application can be superimposed, or averaged, to reduce the blocking artifacts and handle the holes and overlaps. The BDHI takes into account the orientation of local edges and textures when filling the holes, which results in a sharper interpolated image.
Abstract translation: 本文公开的图像插值方法包括不规则网格扩展块加权运动补偿（IEWMC）的方法和块定向孔插入（BDHI）的方法。 IEWMC可以用于单向运动或视差轨迹。 IEWMC可以在向前和向后两个方向上应用，并且由IEWMC应用产生的内插图像可以叠加或平均，以减少块伪影并处理孔和重叠。 BDHI在填充孔时考虑到局部边缘和纹理的方向，这导致更清晰的内插图像。
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公开(公告)号：US20100166057A1
公开(公告)日：2010-07-01
申请号：US12648444
申请日：2009-12-29
Applicant: Gregory Huchet , Jean-Yves Chouinard , Demin Wang , Andre Vincent
Inventor： Gregory Huchet , Jean-Yves Chouinard , Demin Wang , Andre Vincent
IPC: H04N7/12
CPC classification number: H04N19/11 , H04N19/395 , H04N19/46
Abstract: The invention relates to improving the performance of DVC systems using a differential adaptive-base representation of video data to be transmitted, wherein frame data are truncated to the least significant digits in a base-B numeral system, wherein the base B is adaptively determined at the DVC receiver based on a side information error estimate.
Abstract translation: 本发明涉及使用要发送的视频数据的差分自适应基础表示来提高DVC系统的性能，其中帧数据被截断为基B数字系统中的最低有效数字，其中基本B被自适应地确定在 DVC接收机基于侧信息误差估计。
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公开(公告)号：US2726345A
公开(公告)日：1955-12-06
申请号：US20264150
申请日：1950-12-26
Applicant: CYRILLE GUILBERT ANDRE VINCENT
Inventor： CYRILLE GUILBERT ANDRE VINCENT
IPC: H02K23/20
CPC classification number: H02K23/20
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