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    • 3. 发明申请
    • METHOD AND SYSTEM FOR DETECTING EDGES WITHIN AN IMAGE
    • 用于检测图像中边缘的方法和系统
    • US20110085737A1
    • 2011-04-14
    • US12893624
    • 2010-09-29
    • Frank MoeslePaul Springer
    • Frank MoeslePaul Springer
    • G06K9/48
    • G06T7/155G06T7/13G06T2207/20032G06T2207/20036
    • The present invention relates to a method for detecting edges within an image.An edge strength indicator for each pixel within the image is determined and the edge strength indicator is classified into at least three classes to generate a map having one value associated to each class. The classified map is then separated into individual maps depending on the classification. A dilation process is applied to at least a part of the individual maps. The processed and/or individual maps are finally combined by logical operation to obtain a final map indicating edges without nearby texture.The present invention further relates to a system for detecting edges.
    • 本发明涉及一种用于检测图像内的边缘的方法。 确定图像内的每个像素的边缘强度指示符,并且将边缘强度指示符分类为至少三个类别,以生成具有与每个类别相关联的一个值的地图。 然后根据分类将分类图分离成单独的地图。 扩张过程适用于至少一部分个别地图。 处理的和/或单独的地图最终通过逻辑操作组合以获得指示没有附近纹理的边缘的最终地图。 本发明还涉及一种用于检测边缘的系统。
    • 4. 发明授权
    • Method and device for adaptive noise measurement of a video signal
    • 视频信号自适应噪声测量方法和装置
    • US09444977B2
    • 2016-09-13
    • US13190807
    • 2011-07-26
    • Frank MoeslePaul SpringerGregor Schewior
    • Frank MoeslePaul SpringerGregor Schewior
    • H04N5/21H04N17/00H04N5/14
    • H04N5/21H04N5/145H04N17/004
    • The present invention relates to method of adaptive noise measurement of a video signal comprising a sequence of images. The proposed method comprises the steps of searching one or more spatially uniform areas within a current image, determining a spatial uniformity value of said one or more spatially uniform areas and combining said spatial uniformity values to obtain a spatial noise value representing a first measure for the amount of noise in said current image, detecting motion by comparing the current image with one or more preceding images and/or one or more succeeding images of said sequence of images by use of a motion threshold to obtain one or more motion maps indicating the amount of motion between the current image and the respective preceding or succeeding image, searching one or more static areas within said one or more motion maps, determining a temporal uniformity value for said one or more static areas by comparing image values at positions in said one or more preceding images and/or said one or more succeeding images, at which a low amount or no motion is indicated in the respective one or more motion maps, said temporal uniformity value representing a measure for the amount of noise at said positions in said current image, and combining said obtained temporal uniformity values to obtain a combined noise value representing a second measure for the amount of noise in said current image.
    • 本发明涉及包括图像序列的视频信号的自适应噪声测量方法。 所提出的方法包括以下步骤:搜索当前图像内的一个或多个空间均匀区域,确定所述一个或多个空间均匀区域的空间均匀度值,并组合所述空间均匀度值以获得空间噪声值, 所述当前图像中的噪声量,通过使用运动阈值比较当前图像与一个或多个先前图像和/或所述图像序列的一个或多个后续图像来检测运动,以获得指示量的一个或多个运动图 在当前图像和相应的前一个或后续图像之间的运动,搜索所述一个或多个运动图中的一个或多个静态区域,通过比较所述一个或多个静态区域中的位置的图像值,确定所述一个或多个静态区域的时间均匀度值, 更多的先前图像和/或所述一个或多个后续图像,其中在相应的图像中指示低量或不运动 所述时间均匀度值表示所述当前图像中的所述位置处的噪声量的度量,并且组合所获得的时间均匀性值以获得表示所述电流中的噪声量的第二测量值的组合噪声值 图片。
    • 6. 发明申请
    • METHOD AND DEVICE FOR ADAPTIVE NOISE MEASUREMENT OF A VIDEO SIGNAL
    • 用于视频信号的自适应噪声测量的方法和装置
    • US20120019667A1
    • 2012-01-26
    • US13190807
    • 2011-07-26
    • Frank MOESLEPaul SpringerGregor Schewior
    • Frank MOESLEPaul SpringerGregor Schewior
    • H04N17/00
    • H04N5/21H04N5/145H04N17/004
    • The present invention relates to method of adaptive noise measurement of a video signal comprising a sequence of images. The proposed method comprises the steps of searching one or more spatially uniform areas within a current image, determining a spatial uniformity value of said one or more spatially uniform areas and combining said spatial uniformity values to obtain a spatial noise value representing a first measure for the amount of noise in said current image, detecting motion by comparing the current image with one or more preceding images and/or one or more succeeding images of said sequence of images by use of a motion threshold to obtain one or more motion maps indicating the amount of motion between the current image and the respective preceding or succeeding image, searching one or more static areas within said one or more motion maps, determining a temporal uniformity value for said one or more static areas by comparing image values at positions in said one or more preceding images and/or said one or more succeeding images, at which a low amount or no motion is indicated in the respective one or more motion maps, said temporal uniformity value representing a measure for the amount of noise at said positions in said current image, and combining said obtained temporal uniformity values to obtain a combined noise value representing a second measure for the amount of noise in said current image.
    • 本发明涉及包括图像序列的视频信号的自适应噪声测量方法。 所提出的方法包括以下步骤:搜索当前图像内的一个或多个空间均匀区域,确定所述一个或多个空间均匀区域的空间均匀度值,并组合所述空间均匀度值以获得空间噪声值, 所述当前图像中的噪声量,通过使用运动阈值比较当前图像与一个或多个先前图像和/或所述图像序列的一个或多个后续图像来检测运动,以获得指示量的一个或多个运动图 在当前图像和相应的前一个或后续图像之间的运动,搜索所述一个或多个运动图中的一个或多个静态区域,通过比较所述一个或多个静态区域中的位置的图像值,确定所述一个或多个静态区域的时间均匀度值, 更多的先前图像和/或所述一个或多个后续图像,其中在相应的图像中指示低量或不运动 所述时间均匀度值表示所述当前图像中的所述位置处的噪声量的度量,并且组合所获得的时间均匀性值以获得表示所述电流中的噪声量的第二测量值的组合噪声值 图片。
    • 7. 发明授权
    • Image enhancement apparatus and method
    • 图像增强装置及方法
    • US08768069B2
    • 2014-07-01
    • US13399405
    • 2012-02-17
    • Paul SpringerToru NishiMartin RichterMatthias Brueggemann
    • Paul SpringerToru NishiMartin RichterMatthias Brueggemann
    • G06K9/48
    • G06T3/4053G06T5/003G06T5/50G06T2207/20182G06T2207/20192
    • The present invention relates to an image enhancement apparatus for enhancing an input image of a sequence of input images. To provide the ability to increase the resolution of an input image and/or to temporally reduce artifacts and/or noise in an input image, the apparatus comprises a motion compensation unit, a weighted selection unit, a feature analysis unit, an image model unit configured to generate a modelled image by applying an image model on said input image and/or said weighted selection image, a spatio-temporal detail signal generation unit configured to generate a detail signal from said input image and said weighted selection image, and a combination unit configured to generate said enhanced output image from said input image, said detail signal and said modelled image.
    • 本发明涉及一种用于增强输入图像序列的输入图像的图像增强装置。 为了提供增加输入图像的分辨率和/或在时间上减少输入图像中的伪影和/或噪声的能力,该装置包括运动补偿单元,加权选择单元,特征分析单元,图像模型单元 被配置为通过在所述输入图像和/或所述加权选择图像上应用图像模型来生成建模图像,空间 - 时间细节信号生成单元,被配置为从所述输入图像和所述加权选择图像生成细节信号,以及组合 被配置为从所述输入图像,所述细节信号和所述建模图像生成所述增强输出图像的单元。
    • 8. 发明授权
    • Object boundary accurate motion detection using hierarchical block splitting and motion segmentation
    • 使用分层块分割和运动分割的对象边界精确运动检测
    • US08416993B2
    • 2013-04-09
    • US12267986
    • 2008-11-10
    • Paul SpringerOliver Erdler
    • Paul SpringerOliver Erdler
    • G06K9/00G06K9/48
    • H04N5/144G06T7/215
    • The present invention is directed to an apparatus for motion segmentation in the field of motion detection, whereby an initial motion map is processed to a more accurate final motion map which identifies the non- and the movement of pixels between at least two successive images, said apparatus comprising a processing-segmentation device and a combination-logic device. In this apparatus the initial motion map is processed to three different feature maps, describing static edges, moving edges and moving flat areas between at least two successive images, respectively. The present invention is further directed to a corresponding method adapted for motion segmentation in the field of motion detection.
    • 本发明涉及一种用于在运动检测领域中的运动分割的装置,由此将初始运动图处理成更精确的最终运动图,其识别至少两个连续图像之间的像素的非运动和运动,所述运动图 装置,包括处理分割装置和组合逻辑装置。 在该装置中,将初始运动图处理为三个不同的特征图,分别描述至少两个连续图像之间的静态边缘,移动边缘和移动平坦区域。 本发明还涉及适用于运动检测领域的运动分割的相应方法。