System and method for estimating image sharpness
    3.
    发明授权
    System and method for estimating image sharpness 有权
    用于估计图像清晰度的系统和方法

    公开(公告)号:US07356195B2

    公开(公告)日:2008-04-08

    申请号:US10835910

    申请日:2004-04-29

    CPC classification number: G06T7/0002 G06T7/44 G06T2207/30168

    Abstract: A method for determining image sharpness estimation of an image. Image data for at least one column of pixels and at least one row of pixels of the image is sampled. A first filter is applied on sequential differences of sampled image data resulting in a first filtered sequence of first filtered values. A second filter is applied on the sequential differences resulting in a second filtered sequence of second filtered values. A feature set of pixels of the image is selected. Image sharpness estimation is determined based on the first filtered values and the second filtered values of the feature set of pixels.

    Abstract translation: 一种用于确定图像的图像清晰度估计的方法。 对图像的至少一列和至少一行像素的图像数据进行采样。 将第一滤波器应用于采样图像数据的顺序差异,得到第一滤波后的第一滤波序列。 在顺序差上应用第二滤波器,得到第二滤波值的第二滤波序列。 选择图像的特征像素集合。 基于像素的特征集合的第一滤波值和第二滤波值来确定图像清晰度估计。

    System and method for effectively rendering high dynamic range images
    5.
    发明授权
    System and method for effectively rendering high dynamic range images 失效
    有效渲染高动态范围图像的系统和方法

    公开(公告)号:US06993200B2

    公开(公告)日:2006-01-31

    申请号:US09989288

    申请日:2001-11-20

    CPC classification number: G06T5/007 G06T15/00 G06T2207/20016 H04N19/63

    Abstract: A system and method for rendering high dynamic range images includes a rendering manager that divides an original luminance image into a plurality of original subband images. The rendering manager converts the original subband images into original contrast images which are converted into original perceived contrast images. The rendering manager performs a compression procedure upon the original perceived contrast images to produce compressed perceived contrast images. The rendering manager converts the compressed perceived contrast images into compressed contrast images which are converted into compressed subband images. The rendering manager performs a subband combination procedure for combining the compressed subband images together with a lowest-frequency subband image to generate a rendered luminance image. The rendering manager may combines the rendered luminance image with corresponding chrominance information to generate a rendered composite image.

    Abstract translation: 用于渲染高动态范围图像的系统和方法包括将原始亮度图像分割成多个原始子带图像的渲染管理器。 渲染管理器将原始子带图像转换成原始对比度图像,其被转换成原始的感知对比度图像。 渲染管理器对原始感知的对比图像执行压缩过程以产生压缩的感知对比度图像。 渲染管理器将压缩的感知对比度图像转换成压缩对比图像,其被转换成压缩子带图像。 渲染管理器执行用于将压缩的子带图像与最低频率子带图像组合的子带组合过程,以生成渲染的亮度图像。 渲染管理器可以将呈现的亮度图像与对应的色度信息组合以生成渲染的合成图像。

    System and method for estimating image sharpness
    6.
    发明申请
    System and method for estimating image sharpness 有权
    用于估计图像清晰度的系统和方法

    公开(公告)号:US20050244074A1

    公开(公告)日:2005-11-03

    申请号:US10835910

    申请日:2004-04-29

    CPC classification number: G06T7/0002 G06T7/44 G06T2207/30168

    Abstract: A method for determining image sharpness estimation of an image. Image data for at least one column of pixels and at least one row of pixels of the image is sampled. A first filter is applied on sequential differences of sampled image data resulting in a first filtered sequence of first filtered values. A second filter is applied on the sequential differences resulting in a second filtered sequence of second filtered values. A feature set of pixels of the image is selected. Image sharpness estimation is determined based on the first filtered values and the second filtered values of the feature set of pixels.

    Abstract translation: 一种用于确定图像的图像清晰度估计的方法。 对图像的至少一列和至少一行像素的图像数据进行采样。 将第一滤波器应用于采样图像数据的顺序差异,得到第一滤波后的第一滤波序列。 在顺序差上应用第二滤波器,得到第二滤波值的第二滤波序列。 选择图像的特征像素集合。 基于像素的特征集合的第一滤波值和第二滤波值来确定图像清晰度估计。

    SOFT PROOFING SYSTEM
    7.
    发明申请
    SOFT PROOFING SYSTEM 有权
    软保护系统

    公开(公告)号:US20140036283A1

    公开(公告)日:2014-02-06

    申请号:US13563100

    申请日:2012-07-31

    CPC classification number: H04N1/60 H04N1/6013 H04N1/622

    Abstract: A soft proof system includes a display module and a manager. The display module displays a visual representation of a print product, and a color array expressing a tolerance range of a color component of the visual representation and a target color within the range. Via the manager, a visualization function produces the visual representation and the color array according to a soft proof array. A tolerance selection function, associated with the display module, enables selection of the tolerance range for at least a portion of the print product, wherein the selection is expressed on the display in the visual representation and in the color array.

    Abstract translation: 软质防伪系统包括显示模块和管理器。 显示模块显示打印产品的视觉表示,以及表示视觉表示的颜色分量的容许范围和该范围内的目标颜色的颜色阵列。 通过经理,可视化功能根据软性证明阵列产生视觉表示和颜色阵列。 与显示模块相关联的公差选择功能使得能够选择打印产品的至少一部分的公差范围,其中在视觉表示和颜色阵列中的显示器上表示选择。

    Color transformation sample point identification
    8.
    发明授权
    Color transformation sample point identification 有权
    颜色变换采样点识别

    公开(公告)号:US08493403B2

    公开(公告)日:2013-07-23

    申请号:US12554515

    申请日:2009-09-04

    CPC classification number: H04N1/6016

    Abstract: Color transformation sample point identification is described. A subset of points from a superset of points representing a colorimetric relationship is identified. The subset of points defines an initial n-simplex with (n+1) points representing an approximation of the colorimetric relationship, where n represents a number of dimensions. An additional point from the superset of points is selected and added to the subset of points to replace the n-simplex with a set of at least two n-simplices. The additional point is selected such that a volume of an (n+1)-simplex formed by the (n+1) points of the initial n-simplex and the additional point is increased. An error value for the approximation is determined by calculating an error volume between the (n+1)-simplex and the superset of points.

    Abstract translation: 描述了颜色变换采样点识别。 识别来自表示比色关系的点的超集的点的子集。 点的子集定义了具有(n + 1)个点的初始n-单数,其表示比色关系的近似,其中n表示维数。 选择点的超集的附加点并将其添加到点的子集中以用至少两个n个简单的集合来替换n-simplex。 选择附加点使得由初始n-单数和第二附加点的(n + 1)点形成的(n + 1) - 复数的体积增加。 通过计算第(n + 1) - 复数和点的超集之间的误差量来确定近似的误差值。

    System and method for managing resource consumption during print production
    9.
    发明授权
    System and method for managing resource consumption during print production 有权
    在印刷生产过程中管理资源消耗的系统和方法

    公开(公告)号:US08373883B2

    公开(公告)日:2013-02-12

    申请号:US12571410

    申请日:2009-09-30

    CPC classification number: G06F3/1285 G06F3/1219 G06F3/1255

    Abstract: A system and method is disclosed for managing resource consumption during print production. The method discloses receiving a print job and a set of print job constraints; calculating a set of printing resources required to produce a print job output from the print job according to the set of print job constraints; measuring a set of available printing resources; producing the print job output from the print job, if the required printing resources are less than the available printing resources; and identifying a set of fall-back print job constraints and repeating the calculating and producing steps using the fall-back constraints, if the required printing resources are greater than the available printing resources. The system discloses various modules for effecting the method and including: a processor, a color transformation module, a printing resource module, a printing module, and a print job dialog module.

    Abstract translation: 公开了一种用于在打印生产期间管理资源消耗的系统和方法。 该方法公开了接收打印作业和一组打印作业约束; 根据所述打印作业约束集计算从所述打印作业输出的打印作业所需的一组打印资源; 测量一组可用的打印资源; 如果所需的打印资源小于可用的打印资源,则从打印作业输出打印作业; 以及如果所需的打印资源大于可用打印资源,则识别一组落后打印作业约束并重复使用所述落后约束的计算和产生步骤。 该系统公开了用于实现该方法的各种模块,包括:处理器,颜色变换模块,打印资源模块,打印模块和打印作业对话模块。

    Lexical-based processing of color images
    10.
    发明授权
    Lexical-based processing of color images 有权
    基于词法的彩色图像处理

    公开(公告)号:US09047804B1

    公开(公告)日:2015-06-02

    申请号:US11615035

    申请日:2006-12-22

    Abstract: Processing of a digital image includes using a machine to convert numerical representations of colors in the digital image to lexical representations of the colors. The lexical representations may be used for image processing such as color reproduction. Examples of lexical-based color reproduction include, without limitation, using the lexical representations to perform color correction of an image display device, identifying potential problems with color shifts, generating statistics about lexical boundary crossings, and developing image processing pipelines.

    Abstract translation: 数字图像的处理包括使用机器将数字图像中的颜色的数值表示转换为颜色的词法表示。 词法表示可以用于诸如颜色再现的图像处理。 基于词法的颜色再现的示例包括但不限于使用词法表示来执行图像显示装置的颜色校正,识别颜色偏移的潜在问题,生成关于词汇边界交叉的统计数据,以及开发图像处理流水线。

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