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    Face and skin sensitive image enhancement
    1.
    发明授权
    Face and skin sensitive image enhancement 有权
    面部和皮肤敏感的图像增强

    公开(公告)号：US08031961B2

    公开(公告)日：2011-10-04

    申请号：US11754711

    申请日：2007-05-29

    申请人： Hila Nachlieli ,  Gitit Ruckenstein ,  Darryl Greig ,  Doron Shaked ,  Ruth Bergman ,  Carl Staelin ,  Shlomo Harush ,  Mani Fischer

    发明人： Hila Nachlieli ,  Gitit Ruckenstein ,  Darryl Greig ,  Doron Shaked ,  Ruth Bergman ,  Carl Staelin ,  Shlomo Harush ,  Mani Fischer

    IPC分类号： G06K9/40 ,  G06K9/46

    CPC分类号： G06T5/003 ,  G06T5/008 ,  G06T2207/20012 ,  G06T2207/20076 ,  G06T2207/30201

    摘要： Systems and methods of face and skin sensitive image enhancement are disclosed. In one aspect, a face map that includes for each pixel of an input image a respective face probability value indicating a degree to which the pixel corresponds to a human face is calculated. A skin map that includes for each pixel of the input image a respective skin probability value indicating a degree to which the pixel corresponds to human skin is ascertained. The input image is enhanced with an enhancement level that varies pixel-by-pixel in accordance with the respective face probability values and the respective skin probability values. In another aspect, a facial content measurement value indicating a degree to which an input image contains human face content is ascertained. A tone-correction process is tuned in accordance with the facial content measurement value. The input image is enhanced in accordance with the tuned tone-correction process.

    摘要翻译： 公开了面部和皮肤敏感图像增强的系统和方法。 在一个方面中，对于输入图像的每个像素包括指示像素对应于人脸的程度的各自的面部概率值的面部图被计算。 确定对于输入图像的每个像素包括指示像素对应于人体皮肤的程度的各个皮肤概率值的皮肤图。 增强输入图像，其中增强级别根据各自的面部概率值和各个皮肤概率值逐像素地变化。 在另一方面，确定表示输入图像包含人脸内容的程度的面部内容测量值。 根据面部内容测量值调整色调校正过程。 根据调谐色调校正过程增强输入图像。

    FACE AND SKIN SENSITIVE IMAGE ENHANCEMENT
    2.
    发明申请
    FACE AND SKIN SENSITIVE IMAGE ENHANCEMENT 有权
    面部和皮肤敏感的图像增强

    公开(公告)号：US20080298704A1

    公开(公告)日：2008-12-04

    申请号：US11754711

    申请日：2007-05-29

    申请人： Hila Nachlieli ,  Gitit Ruckenstein ,  Darryl Greig ,  Doron Shaked ,  Ruth Bergman ,  Carl Staelin ,  Shlomo Harush ,  Mani Fischer

    发明人： Hila Nachlieli ,  Gitit Ruckenstein ,  Darryl Greig ,  Doron Shaked ,  Ruth Bergman ,  Carl Staelin ,  Shlomo Harush ,  Mani Fischer

    IPC分类号： G06K9/40 ,  G06K9/46

    CPC分类号： G06T5/003 ,  G06T5/008 ,  G06T2207/20012 ,  G06T2207/20076 ,  G06T2207/30201

    摘要： Systems and methods of face and skin sensitive image enhancement are disclosed. In one aspect, a face map that includes for each pixel of an input image a respective face probability value indicating a degree to which the pixel corresponds to a human face is calculated. A skin map that includes for each pixel of the input image a respective skin probability value indicating a degree to which the pixel corresponds to human skin is ascertained. The input image is enhanced with an enhancement level that varies pixel-by-pixel in accordance with the respective face probability values and the respective skin probability values. In another aspect, a facial content measurement value indicating a degree to which an input image contains human face content is ascertained. A tone-correction process is tuned in accordance with the facial content measurement value. The input image is enhanced in accordance with the tuned tone-correction process.

    摘要翻译： 公开了面部和皮肤敏感图像增强的系统和方法。 在一个方面中，对于输入图像的每个像素包括指示像素对应于人脸的程度的各自的面部概率值的面部图被计算。 确定对于输入图像的每个像素包括指示像素对应于人体皮肤的程度的各个皮肤概率值的皮肤图。 增强输入图像，其中增强级别根据各自的面部概率值和各个皮肤概率值逐像素地变化。 在另一方面，确定表示输入图像包含人脸内容的程度的面部内容测量值。 根据面部内容测量值调整色调校正过程。 根据调谐色调校正过程增强输入图像。

    Imaging systems, articles of manufacture, and imaging methods
    6.
    发明申请
    Imaging systems, articles of manufacture, and imaging methods 有权

    公开(公告)号：US20060290794A1

    公开(公告)日：2006-12-28

    申请号：US11166877

    申请日：2005-06-23

    申请人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    发明人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    IPC分类号： H04N9/64

    CPC分类号： H04N5/367 ,  H04N1/4097

    摘要： Imaging systems, articles of manufacture, and imaging methods are described according to aspects of the disclosure. According to one embodiment, an imaging system includes processing circuitry configured to access image data of a plurality of pixels of an image, to provide a plurality of representations of the image data, to determine contrast difference between the representations of the image data for a respective one of the pixels, to identify the one of the pixels as being defective using the determined contrast difference, and to provide replacement image data for the one of the pixels identified as defective and which is different than the accessed image data for the one of the pixels identified as defective.

    Imaging systems, articles of manufacture, and imaging methods
    7.
    发明授权
    Imaging systems, articles of manufacture, and imaging methods 有权
    成像系统，制品和成像方法

    公开(公告)号：US07634151B2

    公开(公告)日：2009-12-15

    申请号：US11166877

    申请日：2005-06-23

    申请人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    发明人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    IPC分类号： G06K9/00 ,  G06K9/40

    CPC分类号： H04N5/367 ,  H04N1/4097

    摘要： Imaging systems, articles of manufacture, and imaging methods are described according to aspects of the disclosure. According to one embodiment, an imaging system includes processing circuitry configured to access image data of a plurality of pixels of an image, to provide a plurality of representations of the image data, to determine contrast difference between the representations of the image data for a respective one of the pixels, to identify the one of the pixels as being defective using the determined contrast difference, and to provide replacement image data for the one of the pixels identified as defective and which is different than the accessed image data for the one of the pixels identified as defective.

    摘要翻译： 根据本公开的方面描述成像系统，制品和成像方法。 根据一个实施例，成像系统包括处理电路，其被配置为访问图像的多个像素的图像数据，以提供图像数据的多个表示，以确定相应的图像数据的表示之间的对比度差异 使用所确定的对比度差来将像素中的一个识别为有缺陷的像素中的一个，并且为被识别为有缺陷的像素中的一个像素提供替代图像数据，并且不同于所访问的图像数据 被识别为有缺陷的像素。

    Automatic replacement of undesirable pixels in an image
    8.
    发明授权
    Automatic replacement of undesirable pixels in an image 有权
    自动更换图像中不需要的像素

    公开(公告)号：US07970235B1

    公开(公告)日：2011-06-28

    申请号：US11796946

    申请日：2007-04-30

    申请人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    发明人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    IPC分类号： G06K9/40

    CPC分类号： G06T5/005 ,  G06T2207/20012 ,  G06T2207/20016

    摘要： In a method of automatically replacing undesirable pixels in an image, a local neighborhood of pixels is identified around an undesirable pixel. In addition, secondary neighborhoods of pixels are identified and feature values of the pixels contained in the local neighborhood and each of the secondary neighborhoods are calculated. The secondary neighborhoods having feature values within a predetermined range of the local neighborhood feature value are classified as candidates for pixel value replacement. Moreover, a replacement pixel value from at least one of the secondary neighborhoods classified as a candidate for pixel value replacement is determined and the undesirable pixel value is replaced with the replacement pixel value.

    摘要翻译： 在自动替换图像中的不希望的像素的方法中，围绕不期望的像素识别局部邻域。 此外，识别像素的辅助邻域，并且计算包含在本地邻域和每个次邻域中的像素的特征值。 具有在本地邻域特征值的预定范围内的特征值的次邻域被分类为用于像素值替换的候选。 此外，确定从分类为像素值替换的候选的次要邻域中的至少一个的替换像素值，并且用替换像素值替换不期望的像素值。

    PRECEPTUAL SEGMENTATION OF IMAGES
    9.
    发明申请
    PRECEPTUAL SEGMENTATION OF IMAGES 有权
    图像预处理

    公开(公告)号：US20120033875A1

    公开(公告)日：2012-02-09

    申请号：US13055118

    申请日：2008-07-31

    申请人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    发明人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    IPC分类号： G06K9/34

    CPC分类号： G06T7/0081 ,  G06T7/11

    摘要： Method and system embodiments of the present invention are directed to automated identification of regions within digitally-encoded images that correspond to objects and features of scenes captured in the digitally-encoded images, a process referred to as ‘perceptual segmentation’ of an image. Regions or segments within an image are first identified by any of various region-identifying or segmentation methods. For each region or segment, features of pixels within the region or segment are employed to compute one or more segment features. The segment features are used, in turn, to identify the region or segment as belonging to a particular type of region or segment, and the region is then accordingly labeled or tagged as a region or segment of the determined type.

    摘要翻译： 本发明的方法和系统实施例涉及数字编码图像中对应于在数字编码图像中捕获的场景的对象和特征的区域的自动识别，被称为图像的“感知分割”的过程。 首先通过各种区域识别或分割方法中的任何一个来识别图像内的区域或片段。 对于每个区域或片段，采用区域或片段内的像素的特征来计算一个或多个片段特征。 区段特征又被用于将区域或区段识别为属于特定类型的区域或区段，然后将区域相应地标记或标记为所确定类型的区域或区段。

    Perceptual segmentation of images
    10.
    发明授权
    Perceptual segmentation of images 有权
    图像的感知分割

    公开(公告)号：US08913831B2

    公开(公告)日：2014-12-16

    申请号：US13055118

    申请日：2008-07-31

    申请人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    发明人： Ruth Bergman ,  Hila Nachlieli ,  Gitit Ruckenstein

    IPC分类号： G06K9/34 ,  G06K9/46 ,  G06T7/00

    CPC分类号： G06T7/0081 ,  G06T7/11

    摘要： Method and system embodiments of the present invention are directed to automated identification of regions within digitally-encoded images that correspond to objects and features of scenes captured in the digitally-encoded images, a process referred to as ‘perceptual segmentation’ of an image. Regions or segments within an image are first identified by any of various region-identifying or segmentation methods. For each region or segment, features of pixels within the region or segment are employed to compute one or more segment features. The segment features are used, in turn, to identify the region or segment as belonging to a particular type of region or segment, and the region is then accordingly labeled or tagged as a region or segment of the determined type.

    摘要翻译： 本发明的方法和系统实施例涉及数字编码图像中对应于在数字编码图像中捕获的场景的对象和特征的区域的自动识别，被称为图像的“感知分割”的过程。 首先通过各种区域识别或分割方法中的任何一个来识别图像内的区域或片段。 对于每个区域或片段，采用区域或片段内的像素的特征来计算一个或多个片段特征。 区段特征又被用于将区域或区段识别为属于特定类型的区域或区段，然后将区域相应地标记或标记为所确定类型的区域或区段。