SYSTEM AND METHOD FOR CREATING A DATA-BEARING IMAGE
    11.
    发明申请
    SYSTEM AND METHOD FOR CREATING A DATA-BEARING IMAGE 有权
    用于创建数据轴承图像的系统和方法

    公开(公告)号:US20110069328A1

    公开(公告)日:2011-03-24

    申请号:US12563432

    申请日:2009-09-21

    IPC分类号: G06F15/00

    CPC分类号: H04N1/4055

    摘要: A system for creating a data-bearing image can include a reference image generator configured to apply a clustered-dot halftone screen to a continuous-tone image. The resulting reference halftone image includes carrier cells in which a pixel cluster can be shifted to at least two shift positions in the carrier cell. The system also includes a payload encoder configured to segment the data payload and encode data segments into one of the carrier cells by shifting the cluster to one of the shift positions. The system also includes an output device configured to output the resulting data-bearing halftone image.

    摘要翻译: 用于创建数据承载图像的系统可以包括被配置为将聚焦点半色调屏幕应用于连续色调图像的参考图像生成器。 所得到的参考半色调图像包括载波小区,其中像素簇可以移位到载波小区中的至少两个移位位置。 该系统还包括有效载荷编码器,该有效载荷编码器被配置为通过将集群移动到其中一个位移位置来分段数据有效载荷并将数据段编码为载体单元之一。 该系统还包括输出装置,其被配置为输出所得的数据承载半色调图像。

    DOCUMENT COPY WITH DATA-BEARING HALFTONE IMAGE
    12.
    发明申请
    DOCUMENT COPY WITH DATA-BEARING HALFTONE IMAGE 有权
    文件复制与数据承载的黑板图像

    公开(公告)号:US20150220823A1

    公开(公告)日:2015-08-06

    申请号:US14414482

    申请日:2012-07-30

    摘要: Document copying systems and methods include initiating a copy job (20) for copying a document (1) having document content. A log (22) of the copy job is generated, and the document is scanned to create a document content image (24). The log is encoded using an input image to produce a data-bearing halftone image (26) which is merged with the document content image (28). The merged data-bearing halftone image and the document content image are printed (30) to produce a copy (2) of the document.

    摘要翻译: 文件复制系统和方法包括启动用于复制具有文档内容的文档(1)的复印作业(20)。 生成复印作业的日志(22),扫描文档以创建文档内容图像(24)。 使用输入图像对日志进行编码,以产生与文档内容图像(28)合并的数据支持半色调图像(26)。 打印合并的数据支付半色调图像和文档内容图像(30)以产生文档的副本(2)。

    PAYLOAD RECOVERY SYSTEMS AND METHODS
    14.
    发明申请
    PAYLOAD RECOVERY SYSTEMS AND METHODS 有权
    付费恢复系统和方法

    公开(公告)号:US20120070030A1

    公开(公告)日:2012-03-22

    申请号:US12885096

    申请日:2010-09-17

    IPC分类号: G06K9/00

    CPC分类号: H04N1/32219 H04N1/32256

    摘要: A payload recovery system includes a reference halftone image of a data-bearing halftone image and a reference map of the data-bearing halftone image. The system further includes a cell alignment system for receiving a scanned image of a hard copy of the data-bearing halftone image and for generating an aligned scan of the scanned image using the reference halftone image and the reference map. A raw payload recovery system determines possible shift positions of each carrier cell of the aligned scan using a shift rule and the reference map; and a reconstructed data-bearing halftone image is generated by the raw payload recovery system using the possible shift positions and the reference halftone. The system also includes a recovered raw payload generated by the raw payload recovery system using the shift rule and the reference map.

    摘要翻译: 有效载荷恢复系统包括数据支持半色调图像的参考半色调图像和数据支持半色调图像的参考图。 该系统还包括用于接收数据承载半色调图像的硬拷贝的扫描图像并且使用参考半色调图像和参考图来生成扫描图像的对准扫描的单元对准系统。 原始有效载荷恢复系统使用移位规则和参考图确定对准扫描的每个载波单元的可能的移位位置; 并且由原始有效载荷恢复系统使用可能的换档位置和参考半色调生成重构的数据承载半色调图像。 该系统还包括使用移动规则和参考地图由原始有效载荷恢复系统生成的恢复的原始有效载荷。

    Automatic redeye detection based on redeye and facial metric values
    17.
    发明授权
    Automatic redeye detection based on redeye and facial metric values 有权
    基于红眼和面部度量值的自动红眼检测

    公开(公告)号:US08446494B2

    公开(公告)日:2013-05-21

    申请号:US12865855

    申请日:2008-02-01

    IPC分类号: H04N5/217

    摘要: Candidate redeye areas (24) are determined in an input image (20). In this process, a respective set of one or more redeye metric values (28) is associated with each of the candidate redeye areas (24). Candidate face areas (30) are ascertained in the input image (20). In this process, a respective set of one or more face metric values (34) is associated with each of the candidate face areas (30). A respective joint metric vector (78) is assigned to each of the candidate redeye areas (24). The joint metric vector (78) includes metric values that are derived from the respective set of redeye metric values (28) and the set of face metric values (34) associated with a selected one of the candidate face areas (30). Each of one or more of the candidate redeye areas (24) is classified as either a redeye artifact or a non-redeye artifact based on the respective joint metric vector (78) assigned to the candidate redeye area (24).

    摘要翻译: 在输入图像(20)中确定候选红眼区域(24)。 在该过程中,相应的一组一个或多个红眼度量值(28)与候选红眼区域(24)中的每一个相关联。 在输入图像(20)中确定候选面部区域(30)。 在该过程中,一组或多个面部度量值(34)与候选面部区域(30)中的每一个相关联。 各个联合度量矢量(78)被分配给每个候选红眼区域(24)。 联合度量矢量(78)包括从相应的红眼度量值集合(28)和与候选面部区域(30)中选择的一个相关联的面部度量值(34)的集合导出的度量值。 基于分配给候选红眼区域(24)的各个联合度量矢量(78),候选红眼区域(24)中的一个或多个被分类为红眼人造物或非红眼人造物。

    Method of robust alignment and payload recovery for data-bearing images
    18.
    发明授权
    Method of robust alignment and payload recovery for data-bearing images 有权
    数据承载图像的鲁棒对准和有效载荷恢复方法

    公开(公告)号:US08594453B2

    公开(公告)日:2013-11-26

    申请号:US13212658

    申请日:2011-08-18

    IPC分类号: G06K9/40

    摘要: An example provides a system and method of robust alignment and payload recovery for data-bearing images. The method includes digitizing a printed version of a stegatone, computing the transformation parameters of the stegatone, and processing individual local regions of the stegatone to determine local transformation parameters. The method also includes performing an alignment evaluation to compute a metric value that represents the quality of a local alignment between a reference halftone and the stegatone. Further, the method includes selecting alignment parameters based on optimization of the metric value, mapping the shift of clustered-dots in each cell in comparison to the reference halftone, and recovering the payload by decoding the stegatone.

    摘要翻译: 一个例子为数据承载图像提供了鲁棒对准和有效载荷恢复的系统和方法。 该方法包括数字化stegatone的印刷版本,计算stegatone的变换参数,以及处理stegatone的各个局部区域以确定局部变换参数。 该方法还包括执行对准评估,以计算表示参考半色调和stegatone之间的局部对齐质量的度量值。 此外,该方法包括基于度量值的优化来选择对准参数,将每个单元中的聚集点的移动映射到与参考半色调相比较,以及通过解码stegatone来恢复有效载荷。

    Automatic Redeye Detection
    19.
    发明申请
    Automatic Redeye Detection 有权
    自动红眼检测

    公开(公告)号:US20110001850A1

    公开(公告)日:2011-01-06

    申请号:US12865855

    申请日:2008-02-01

    IPC分类号: H04N5/217 G06K9/03

    摘要: Candidate redeye areas (24) are determined in an input image (20). In this process, a respective set of one or more redeye metric values (28) is associated with each of the candidate redeye areas (24). Candidate face areas (30) are ascertained in the input image (20). In this process, a respective set of one or more face metric values (34) is associated with each of the candidate face areas (30). A respective joint metric vector (78) is assigned to each of the candidate redeye areas (24). The joint metric vector (78) includes metric values that are derived from the respective set of redeye metric values (28) and the set of face metric values (34) associated with a selected one of the candidate face areas (30). Each of one or more of the candidate redeye areas (24) is classified as either a redeye artifact or a non-redeye artifact based on the respective joint metric vector (78) assigned to the candidate redeye area (24).

    摘要翻译: 在输入图像(20)中确定候选红眼区域(24)。 在该过程中,相应的一组一个或多个红眼度量值(28)与候选红眼区域(24)中的每一个相关联。 在输入图像(20)中确定候选面部区域(30)。 在该过程中,一组或多个面部度量值(34)与候选面部区域(30)中的每一个相关联。 各个联合度量矢量(78)被分配给每个候选红眼区域(24)。 联合度量矢量(78)包括从相应的红眼度量值集合(28)和与候选面部区域(30)中选择的一个相关联的面部度量值(34)的集合导出的度量值。 基于分配给候选红眼区域(24)的各个联合度量矢量(78),候选红眼区域(24)中的一个或多个被分类为红眼人造物或非红眼人造物。

    METHOD OF ROBUST ALIGNMENT AND PAYLOAD RECOVERY FOR DATA-BEARING IMAGES
    20.
    发明申请
    METHOD OF ROBUST ALIGNMENT AND PAYLOAD RECOVERY FOR DATA-BEARING IMAGES 有权
    用于数据承载图像的稳定对准和载荷恢复方法

    公开(公告)号:US20130044948A1

    公开(公告)日:2013-02-21

    申请号:US13212658

    申请日:2011-08-18

    IPC分类号: G06K9/00

    摘要: An example provides a system and method of robust alignment and payload recovery for data-bearing images. The method includes digitizing a printed version of a stegatone, computing the transformation parameters of the stegatone, and processing individual local regions of the stegatone to determine local transformation parameters. The method also includes performing an alignment evaluation to compute a metric value that represents the quality of a local alignment between a reference halftone and the stegatone. Further, the method includes selecting alignment parameters based on optimization of the metric value, mapping the shift of clustered-dots in each cell in comparison to the reference halftone, and recovering the payload by decoding the stegatone.

    摘要翻译: 一个例子为数据承载图像提供了鲁棒对准和有效载荷恢复的系统和方法。 该方法包括数字化stegatone的印刷版本,计算stegatone的变换参数,以及处理stegatone的各个局部区域以确定局部变换参数。 该方法还包括执行对准评估,以计算表示参考半色调和stegatone之间的局部对齐质量的度量值。 此外,该方法包括基于度量值的优化来选择对准参数,将每个单元中的聚集点的移动映射到与参考半色调相比较,以及通过解码stegatone来恢复有效载荷。