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公开(公告)号：US08090215B2
公开(公告)日：2012-01-03
申请号：US12101948
申请日：2008-04-11
申请人： Stuart A. Schweid
发明人： Stuart A. Schweid
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/20 , G06T2207/20016 , G06T2207/20192
摘要： A system determines the noise level of image data by high pass filtering image data. Absolutes values of the high pass filtered image data are determined. Thereafter, multiple mean values for absolute values less than a predetermined number of threshold values are determined. Based upon the determined mean values, a plurality of estimated mean values is calculated, each estimated mean value being calculated from a combination of two determined mean values. The noise of the image is determined from a combination of the minimum estimated mean value and the maximum estimated mean value. This noise can be optionally used by a sigma filter, at Step S740, to sigma filter the image data.
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62.发明授权公开(公告)号：US08089659B2
公开(公告)日：2012-01-03
申请号：US12463469
申请日：2009-05-11
CPC分类号： H04N1/6058 , H04N1/54
摘要： 4+ color management sequentially processes four colors at a time from among the 4+ colors to leverage solution capability using a 4-color management tools. In methods and apparatus for processing 4+ colors, received information of 4+ colors may be processed in a first stage using four colors of the 4+ colors, such as CMYO. The processed four colors are then mapped into three virtual colors. The mapped three virtual colors and one additional unprocessed color of the 4+ colors are then processed in a second stage using a 4-color tool. From this, a second color model of at least five colors (4+) is generated. The resulting four colors determine five printer colors, and are then mapped into three virtual colors. The mapped three virtual colors and one additional unprocessed color of the 4+ colors are then processed in a third stage using a 4-color tool. From this, a third color model of at least five colors (4+) is generated. This modeling and mapping to virtual input can be repeated for once for each color beyond 4 that is supported by the printer. The processed 4+ colors are output to a device, such as a printing engine, for rendering the image.
摘要翻译： 4+颜色管理从4+颜色中顺次处理四种颜色，以利用四色管理工具来利用解决方案。 在用于处理4种颜色的方法和装置中，可以在第一阶段中使用四种颜色的四种颜色（诸如CMYO）来处理接收到的4种颜色的信息。 然后将经处理的四种颜色映射成三种虚拟颜色。 然后使用4色工具在第二阶段处理4种颜色的映射的三种虚拟颜色和一种其他未处理的颜色。 由此产生至少五种颜色（4+）的第二种颜色模型。 所得到的四种颜色决定了五种打印机颜色，然后被映射成三种虚拟颜色。 然后使用4色工具在第三阶段处理4种颜色的映射的三种虚拟颜色和一种其他未处理的颜色。 从此，生成至少五种颜色（4+）的第三种颜色模型。 对于由打印机支持的超过4的每种颜色，可以对虚拟输入进行此建模和映射一次。 处理的4+颜色被输出到诸如打印引擎的设备，用于渲染图像。
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公开(公告)号：US08040568B2
公开(公告)日：2011-10-18
申请号：US12135546
申请日：2008-06-09
CPC分类号： H04N1/52
摘要： A color management method, system and storage medium output 4+ color separation signals to a 4+ (5 or more) color print engine. An input source color is converted into virtual intermediate CMYK separation signals using a 4-color management tool, which may be a conventional tool. These virtual intermediate CMYK separation signals are received as input within a digital front end (DFE), which transforms the intermediate signals into 4+ separation signals, such as for a 6-color print engine. A transformation unit of the DFE passes some of the input separation signals through directly as output (without transformation) while transforming others by splitting them into light and dark separation signals, such as light and dark cyan or magenta using a blend curve that will output the same tonal quality. The transformation unit may use a blending curve that takes into account ink-limit constraints and may maximize light colorant usage to improve image smoothness in light image regions.
摘要翻译： 色彩管理方法，系统和存储介质将4+颜色分离信号输出到4+（5个或更多）彩色打印引擎。 使用四色管理工具将输入源颜色转换成虚拟中间CMYK分离信号，其可以是常规工具。 这些虚拟中间CMYK分离信号作为数字前端（DFE）中的输入接收，其将中间信号转换成4+分离信号，例如用于6色打印引擎。 DFE的变换单元通过直接作为输出（无变换）将一些输入分离信号作为输出（而不进行变换），而通过将其分解为亮和暗的分离信号（如浅或深青色或品红色），使用将输出 相同的音调质量。 变换单元可以使用考虑到油墨限制约束的混合曲线，并且可以使光着色剂的使用最大化，以提高光图像区域中的图像平滑度。
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公开(公告)号：US07830554B2
公开(公告)日：2010-11-09
申请号：US11823893
申请日：2007-06-29
CPC分类号： H04N1/00002 , H04N1/00005 , H04N1/00015 , H04N1/00023 , H04N1/00031 , H04N1/00045 , H04N1/00053 , H04N1/00063 , H04N1/00068 , H04N1/00087 , H04N1/0009 , H04N1/4015 , H04N1/409
摘要： Defects in an image forming system may give rise to scratched fiducials, missing fiducial regions, or other defects in an image that can run parallel to the process direction. The present disclosure provides for a fiducial compensation method and system for detecting defects thereby allowing spatial tone reproduction curves to be calculated and applied to a digital image in order to eliminate printed streaks due to a photoreceptor's non-uniformities.
摘要翻译： 图像形成系统中的缺陷可能会导致划痕的基准，缺失的基准区域或图像中可能平行于过程方向运行的其他缺陷。 本公开提供了用于检测缺陷的基准补偿方法和系统，从而允许空间色调再现曲线被计算并应用于数字图像，以便消除由于感光体的不均匀性引起的印刷条纹。
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公开(公告)号：US07755638B2
公开(公告)日：2010-07-13
申请号：US11318131
申请日：2005-12-23
IPC分类号： G09G5/02
CPC分类号： H04N1/4055 , H04N1/4092
摘要： The present application is a method of producing digital image objects with enhanced halftone edges. The method operates by selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating edge-identification codes from the plurality of edge-state codes using at least one look-up table; and, utilizing the edge-identification code to select and apply to the digital image at the target pixel either a first halftone screen having a first fundamental frequency and a first angle or a second halftone screen having a second fundamental frequency and a second angle, wherein the second frequency and second angle are harmonically matched to the first frequency and first angle. The method solves the problem of ragged edges on halftone tints as an automated, operation, with a computing architecture that is readily adapted to a wide variety of tinted edge conditions, and which can be readily adapted to real-time applications.
摘要翻译： 本申请是生产具有增强的半色调边缘的数字图像对象的方法。 该方法通过选择数字图像内的目标像素位置来操作; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成边缘识别码; 并且利用边缘识别码选择并应用于目标像素处的数字图像，即具有第一基频和第一角度的第一半色调屏幕或具有第二基频和第二角度的第二半色调屏幕，其中 第二频率和第二角度与第一频率和第一角度谐波匹配。 该方法解决了作为自动化操作的半色调色调上的粗糙边缘的问题，其具有易于适应各种着色边缘条件的计算架构，并且其可以容易地适应于实时应用。
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公开(公告)号：US20100128314A1
公开(公告)日：2010-05-27
申请号：US12276810
申请日：2008-11-24
申请人： Robert P. Loce , Beilei Xu , Stuart A. Schweid
发明人： Robert P. Loce , Beilei Xu , Stuart A. Schweid
CPC分类号： H04N1/4092 , G06K15/02 , G06T5/003 , G06T2207/20192 , G06T2207/30176
摘要： A system and method for processing a digital image for rendering are provided. The method includes performing one or more Line Width Control (LWC) operations on digital image data including pixels having pixel values representing gray levels and tag states providing information for specialized rendering techniques thereby changing one or more pixel values resulting in one or more inaccurate pixel tag states, identifying and reassigning one or more inaccurate pixel tag states for improving the rendering of the resultant digital image. An apparatus, such as an image processing system, capable of performing line width control and tag reassignment is also provided.
摘要翻译： 提供了一种用于处理用于渲染的数字图像的系统和方法。 该方法包括对数字图像数据执行一个或多个线宽控制（LWC）操作，包括具有表示灰度级的像素值的像素和为特殊渲染技术提供信息的标签状态，从而改变一个或多个像素值，导致一个或多个不准确的像素标记 状态，识别和重新分配一个或多个不准确的像素标签状态，以改善所得数字图像的渲染。 还提供了能够执行线宽控制和标签重新分配的诸如图像处理系统的装置。
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公开(公告)号：US07565015B2
公开(公告)日：2009-07-21
申请号：US11317818
申请日：2005-12-23
CPC分类号： G06K9/00986 , G06K9/4609 , G06K9/56
摘要： The teachings provided herein disclose a method for the identification of edge pixels within a digital image. The method operates by generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within a given observation window, and generating an edge-identification code from the plurality of edge-state codes using a look-up table. The edge identification provides information that can be used for subsequent treatments such as rendering anti-aliased pixels, selecting preferred halftoning and tone reproduction for edge pixels, corner sharpening, and object recognition and segmentation.
摘要翻译： 本文提供的教导公开了一种用于识别数字图像内的边缘像素的方法。 该方法通过为给定观察窗口内的多个像素相邻向量对生成边缘状态码，并且使用查找表从多个边缘状态码生成边缘识别码来操作。 边缘识别提供可用于后续处理的信息，例如渲染抗锯齿像素，选择边缘像素的优选半色调和色调再现，角锐化和对象识别和分割。
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公开(公告)号：US07518618B2
公开(公告)日：2009-04-14
申请号：US11317782
申请日：2005-12-23
IPC分类号： G09G5/00
CPC分类号： G06T11/203
摘要： The teachings provided herein disclose an image processing method for rendering a digital image possessing anti-aliased pixels by selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating edge-identification codes from the plurality of edge-state codes using at least one look-up table; and, utilizing the edge-identification codes to select and apply to the digital image at the target pixel either anti-aliased rendering or conventional halftoning. The anti-aliasing may employ pixel signals that are high addressable and directionally biased to a particular orientation.
摘要翻译： 本文提供的教导公开了一种图像处理方法，用于通过选择数字图像内的目标像素位置来渲染具有抗锯齿像素的数字图像; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成边缘识别码; 并且利用边缘识别码选择并应用于目标像素处的数字图像，即抗锯齿渲染或常规半色调。 抗混叠可以采用高可寻址性并且被定向偏置于特定取向的像素信号。
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公开(公告)号：US07120314B2
公开(公告)日：2006-10-10
申请号：US10342357
申请日：2003-01-15
CPC分类号： G06T3/608 , H04N1/3878
摘要： In a machine-fed scanner, orientation angles of edges of an image bearing substrate are obtained and used to calculate image shear and/or skew. A running weighted average of the image skew may be kept in a memory. When a skew value is obtained for a given image, it may be determined whether the skew value is within a predetermined range. If the skew value is within the predetermined range, the skew value is used to determine an image revision to compensate for the skew, and the skew value is incorporated into the running weighted average skew. If the skew value is not within the predetermined range, it is discarded and the running weighted average skew is used to determine an appropriate image skew revision. The running weighted average of the shear may also be kept in a memory. A shear value is obtained for each image, and incorporated into the running weighted average shear. Shear revision is performed based on the running weighted average shear. A determination may be made whether the shear value for a current image is within a predetermined range, and the running weighted average shear may be updated based on the shear value for the current image if the shear value for the current image is within the predetermined range.
摘要翻译： 在机器馈送的扫描仪中，获得图像承载基底的边缘的取向角并用于计算图像剪切和/或偏斜。 图像偏移的运行加权平均值可以保存在存储器中。 当给定图像获得偏斜值时，可以确定偏斜值是否在预定范围内。 如果偏斜值在预定范围内，则偏斜值用于确定图像修正以补偿偏斜，并且偏斜值被合并到运行加权平均偏差中。 如果偏斜值不在预定范围内，则将其丢弃，并使用运行加权平均偏差来确定适当的图像偏斜修正。 剪切的运行加权平均值也可以保存在存储器中。 对于每个图像获得剪切值，并将其并入运行加权平均剪切。 基于运行的加权平均剪切力来进行剪切修正。 可以确定当前图像的剪切值是否在预定范围内，并且如果当前图像的剪切值在预定范围内，则可以基于当前图像的剪切值更新运行加权平均剪切 。
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公开(公告)号：US06947597B2
公开(公告)日：2005-09-20
申请号：US09965880
申请日：2001-09-28
申请人： Ying-wei Lin , Stuart A. Schweid , Jeng-nan Shiau , Raja Bala , Zhigang Fan
发明人： Ying-wei Lin , Stuart A. Schweid , Jeng-nan Shiau , Raja Bala , Zhigang Fan
CPC分类号： H04N1/40062 , G06K9/00456
摘要： A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
摘要翻译： 一种用于图像处理的方法和系统，结合使用SGLD纹理（例如，方差，偏差，偏度和适应度）的自然图像和合成图像之间的图像分类，颜色离散性（例如，R_L，R_U和R_V归一化直方图 ）或边缘特征（例如，每个检测到的边缘的像素，水平边缘和垂直边缘）。 在另一个实施例中，提供了使用SGLD纹理，颜色离散性和边缘特征的组合的图片/图形分类器。 在另一个实施例中，提供了使用两（2）或更多SGLD纹理，颜色离散性和边缘特征的组合的“软”图像分类器。 “软”分类器使用图像特征来对图像，图形或模糊类中的输入图像的区域进行分类。
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