Halftoning using dot and line screens to avoid two and three color moire
    21.
    发明申请
    Halftoning using dot and line screens to avoid two and three color moire 有权
    半色调使用点和线屏幕,以避免两个和三个颜色的莫尔条纹

    公开(公告)号:US20020089708A1

    公开(公告)日:2002-07-11

    申请号:US09909319

    申请日:2001-07-19

    CPC classification number: H04N1/52

    Abstract: Moirnull free color halftoning is achieved through the use of two dot screens and one or two line screens. The line screens may be, for example hybrid line screens. Frequency vectors associated with the screens combine to produce moirnull frequency vectors representing moirnull frequencies above or below the visual range. In one embodiment lines screens are used to halftone yellow and black separations and dot screens are used to halftone cyan and magenta separations. The dot screens are oriented at 15 and 75 degrees. The line screens are oriented at 45 and 135 degrees. Selected screens and screen orientations minimize screen interaction with mechanical or optical artifacts of a rendering device, thereby minimizing mechanical and optical moirnull.

    Abstract translation: 通过使用两个点阵屏幕和一个或两个线路屏幕实现无色的半色调。 线路屏幕可以是例如混合线路屏幕。 与屏幕相关联的频率矢量组合以产生表示莫尔频率高于或低于视觉范围的莫尔频率矢量。 在一个实施例中,线屏幕用于半色调黄色和黑色分色,并且点划线用于将青色和品红色分色进行半色调。 点画面定向为15度和75度。 线屏幕定向为45度和135度。 所选择的屏幕和屏幕取向使得与渲染设备的机械或光学伪像的屏幕交互最小化,从而最小化机械和光学莫尔。

    Adaptive thresholding using loose gray scale template matching
    22.
    发明申请
    Adaptive thresholding using loose gray scale template matching 有权
    使用松散灰度模板匹配的自适应阈值

    公开(公告)号:US20020080144A1

    公开(公告)日:2002-06-27

    申请号:US09746869

    申请日:2000-12-21

    CPC classification number: H04N1/40075 G06K9/4609 G06K9/56

    Abstract: What is presented is a method for rendering gray half-toned images from a received image wherein the received image is bitmap data including at least a plurality of gray-scale pixel tiles that define the image. The method includes the steps of first receiving a gray image so as to extract pixel tile information of the received image. The next step is matching loosely the pixel tile information with at least one of a plurality of templates, wherein the match is determined from looseness intervals between the templates and the pixel tile information. Then, outputting a portion of enhanced pixel tile information wherein the enhanced pixel tile information is formed from data associated with a matching template. The output signals are such that a preferred thresholding of the image is performed.

    Abstract translation: 所呈现的是一种用于从接收图像渲染灰色半色调图像的方法,其中所接收的图像是包括至少多个限定图像的灰度像素瓦片的位图数据。 该方法包括以下步骤:首先接收灰度图像,以便提取接收到的图像的像素平铺信息。 下一步是将像素瓦片信息与多个模板中的至少一个模板松散地匹配,其中,通过模板和像素平铺信息之间的松动间隔来确定匹配。 然后,输出增强像素平铺信息的一部分,其中由与匹配模板相关联的数据形成增强像素平铺信息。 输出信号使得执行图像的优选阈值处理。

    Resolution conversion for anti-aliased images using loose gray scale template matching
    23.
    发明申请
    Resolution conversion for anti-aliased images using loose gray scale template matching 有权
    使用松散灰度模板匹配的抗锯齿图像的分辨率转换

    公开(公告)号:US20020076120A1

    公开(公告)日:2002-06-20

    申请号:US09740607

    申请日:2000-12-19

    CPC classification number: G06T3/4007

    Abstract: A method for resolution conversion for re-sampling anti-aliased images is disclosed which decreases bandwidth costs associated with anti-aliased line art and other costs associated with interpolating these images to a desired resolution. The present method first involving the receipt of an image which is comprised of bitmap data including at least a plurality of gray-scale pixel tiles that define the image. Then receiving the image data at a first resolution and extracting pixel tile information of the received image at a second resolution. The method has the step of next using loose gray scale template matching on each of the pixel tile information with at least one of a plurality of templates so as to generate pixel-wise looseness interval values there between. Then, outputting a portion of the enhanced pixel tile information wherein the enhanced pixel tile information is formed by a matching of a template with pixel-wise looseness values. Preferably, the input and output resolutions are at different integer values and the first and second resolutions have a non-integer ratio. The input image can also preferably be comprised of gray halftones and the output enhanced pixel tile can be formed of binary pixel data.

    Abstract translation: 公开了一种用于重新采样抗锯齿图像的分辨率转换方法,其减少了与抗锯齿线条艺术相关联的带宽成本以及将这些图像内插到期望分辨率相关的其它成本。 本方法首先包括接收包括定位图像的至少多个灰度级像素块的位图数据的图像。 然后以第一分辨率接收图像数据,并以第二分辨率提取接收到的图像的像素平铺信息。 该方法具有以下步骤:使用与多个模板中的至少一个相对应的每个像素平铺信息上的松散灰度级模板匹配,以便在其间产生像素级的松散间隔值。 然后,输出增强像素平铺信息的一部分,其中通过模板与像素方向的松动度值的匹配来形成增强像素平铺信息。 优选地,输入和输出分辨率是不同的整数值,并且第一和第二分辨率具有非整数比。 输入图像还可以优选地由灰色半色调组成,并且输出增强像素图块可以由二进制像素数据形成。

    Methods and apparatus for antialiasing using selective implementation of logical and averaging filter operations
    24.
    发明申请
    Methods and apparatus for antialiasing using selective implementation of logical and averaging filter operations 失效
    使用选择性实现逻辑和平均滤波器操作的抗锯齿方法和装置

    公开(公告)号:US20040257620A1

    公开(公告)日:2004-12-23

    申请号:US10601686

    申请日:2003-06-23

    Abstract: Methods and apparatus for antialiasing images that contain one or more image objects such as colored text, line art, and graphical objects, such that the edge pixels of an antialiased image object will exhibit relatively uniform values, and the appearance of the image object is thereby improved. In one embodiment, an improved antialiasing filter is employed to detect at least one region within the received image. Upon detecting a region containing a background image level that adjoins an image object having pixel values in a range other than a range of limit values, the antialiasing filter sets the pixel values of the edge or border pixels of the image object to substantially the same value. Selection among a logical filter operation and an averaging filter operation may be adaptively employed in the antialiasing filter in order to obtain the desired uniformity of pixel values.

    Abstract translation: 用于对包含一个或多个图像对象(例如彩色文本,线条图形和图形对象)的图像进行抗锯齿的方法和装置,使得抗锯齿图像对象的边缘像素将呈现相对均匀的值,并且因此图像对象的外观 改进。 在一个实施例中,采用改进的抗混叠滤波器来检测接收到的图像内的至少一个区域。 在检测到包含与限制值范围以外的范围内的像素值相邻的背景图像级别的区域时,抗锯齿滤波器将图像对象的边缘或边界像素的像素值设定为基本相同的值 。 可以在抗混叠滤波器中自适应地采用逻辑滤波器操作和平均滤波器操作之间的选择,以便获得期望的像素值的均匀性。

    Method of selective edge softening and rendering for the suppression of halo
    25.
    发明申请
    Method of selective edge softening and rendering for the suppression of halo 有权
    选择性边缘软化和抑制晕圈的方法

    公开(公告)号:US20040085557A1

    公开(公告)日:2004-05-06

    申请号:US10694495

    申请日:2003-10-27

    Abstract: Selective edge softening and selective edge dithering is introduced into an image representation to improve local control where halo problems are expected. Selective areas of dilation are isolated and separately dithered or halftoned, the result of which is then swapped back into or substituted for the stored original image. In this manner misregistration and color plane-to-plane interactions can be compensated for in plural image forming station architecture systems. The same technique is also valuable in monochrome systems as an aid to overcoming edge displacement and slow toner problems when the selective edge softening is selectively applied to edges which are in particular perpendicular to the fast scan direction.

    Abstract translation: 选择边缘柔化和选择性边缘抖动被引入到图像表示中以改善局部控制,其中预期光晕问题。 选择性扩张区域是隔离的,并且分开地抖动或半色调,然后将其结果交换回或代替所存储的原始图像。 以这种方式,在多个图像形成站架构系统中可以补偿不对准和彩色平面到平面的相互作用。 当选择性边缘软化选择性地施加到特别是垂直于快速扫描方向的边缘时,相同的技术在单色系统中也是有价值的,以帮助克服边缘位移和缓慢的调色剂问题。

    Systems for spectral multiplexing of source images including a textured source image to provide a composite image, for rendering the composite image, and for spectral demultiplexing of the composite image
    27.
    发明申请
    Systems for spectral multiplexing of source images including a textured source image to provide a composite image, for rendering the composite image, and for spectral demultiplexing of the composite image 有权
    用于源图像的频谱复用的系统,包括纹理源图像以提供合成图像,用于渲染合成图像,以及用于复合图像的频谱解复用

    公开(公告)号:US20040071349A1

    公开(公告)日:2004-04-15

    申请号:US10268505

    申请日:2002-10-09

    CPC classification number: H04N13/161 H04N13/257

    Abstract: Methods and apparatus for spectrally-encoding plural source images and for providing the spectrally-encoded plural source images in a composite image, for rendering the composite image on a substrate, or for recovering at least one of the encoded source images from the rendered composite image such that the recovered source image is made distinguishable. At least one of the source images includes image content in the form of a textured image. When the rendered composite image is subjected to illumination by one of the narrow band illuminants for which a source image was encoded, the textured image in the recovered source image becomes visually detectable.

    Abstract translation: 用于频谱编码多个源图像并用于在合成图像中提供频谱编码的多个源图像的方法和装置,用于在基板上渲染合成图像,或用于从所渲染的合成图像中恢复至少一个编码源图像 使得恢复的源图像是可区分的。 源图像中的至少一个包括纹理图像形式的图像内容。 当所渲染的合成图像被源图像被编码的窄带光源中的一个照射时,恢复的源图像中的纹理图像变得可视地检测。

    Feature recognition using loose gray scale template matching
    28.
    发明申请
    Feature recognition using loose gray scale template matching 有权
    使用松散灰度模板匹配的特征识别

    公开(公告)号:US20030161534A1

    公开(公告)日:2003-08-28

    申请号:US09745623

    申请日:2000-12-26

    CPC classification number: H04N1/40075 G06K9/4609 G06K9/56

    Abstract: What is presented is a method for feature recognition using loose-gray-scale template matching including at least an initial point for locating within the received image a plurality of pixel points in gray-scale surrounding an initial point. The method has the steps of first locating the initial point and the plurality of pixel points to define feature boundaries and then generating a looseness interval about the located initial point with template information being associated therewith. The next step involves determining which one of a plurality of templates for fitting fits within a threshold looseness interval, and then outputting a signal associated with that recognized feature.

    Abstract translation: 所提出的是一种使用松散灰度模板匹配的特征识别方法,包括至少一个用于在接收图像内定位围绕起始点的灰度级的多个像素点的初始点。 该方法具有以下步骤:首先定位初始点和多个像素点以定义特征边界,然后通过与其相关联的模板信息来生成关于所位于的初始点的松动间隔。 下一步涉及确定用于拟合的多个模板中的哪一个适合在阈值松动间隔内,然后输出与该识别的特征相关联的信号。

    Rank-order error diffusion image processing
    29.
    发明申请
    Rank-order error diffusion image processing 失效
    秩顺序误差扩散图像处理

    公开(公告)号:US20030090729A1

    公开(公告)日:2003-05-15

    申请号:US09968651

    申请日:2001-10-01

    CPC classification number: H04N1/4052

    Abstract: Error is distributed to pixels neighboring a pixel of interest based on a ranking of the neighboring pixels. The ranking is based on pixel values of the neighboring pixels. Optionally a spatial weighting is applied to the pixel values before ranking, to provide a preference for pixels closest to the pixel of interest or to a particular portion of a related halftone screen. Rank order based error diffusion provides compact halftone dots without patterning artifacts. An image processing system operative to perform rank order error diffusion includes a pixel ranker and an error diffuser. In a xerographic environment the image processing system includes a xerographic printer.

    Abstract translation: 基于相邻像素的等级,将错误分布到与感兴趣像素相邻的像素。 排名基于相邻像素的像素值。 可选地,在排序之前对像素值应用空间加权,以提供对最靠近感兴趣的像素或相关半色调屏幕的特定部分的像素的偏好。 基于秩次的误差扩散提供了紧凑的半色调点,而没有图案化伪像。 可执行排序误差扩散的图像处理系统包括像素排列器和误差扩散器。 在静电复印环境中,图像处理系统包括静电印刷机。

    Document image segmentation using loose gray scale template matching
    30.
    发明申请
    Document image segmentation using loose gray scale template matching 有权
    文档图像分割使用宽松的灰度模板匹配

    公开(公告)号:US20020076107A1

    公开(公告)日:2002-06-20

    申请号:US09740467

    申请日:2000-12-19

    Abstract: A Document Image Segmentation method is disclosed for matching a plurality of templates with a received image wherein the received image being bitmap data including at least a plurality of gray-scale pixel tiles that define the received image, the matching method having the steps of first receiving said image data so as to extract pixel tile information of said received image wherein said pixel tile information being of a predetermined matrix size; then matching loosely said pixel tile information with at least one of a plurality of templates so as to generate pixel-wise looseness interval values there between; and finally outputting an identifier associated with the matching template such that said identifier indicates a classification. The classification is preferably based on at least one of continuous tone pictorials, text, half tones, high/low frequency range; and line art graphic. Also, preferably the classification contains information about the image source.

    Abstract translation: 公开了一种文档图像分割方法,用于将多个模板与接收到的图像进行匹配,其中所接收的图像是包括定义接收图像的至少多个灰度级像素瓦片的位图数据,该匹配方法具有以下步骤:首先接收 所述图像数据提取所述接收图像的像素平铺信息,其中所述像素平铺信息为预定矩阵尺寸; 然后将所述像素瓦片信息与多个模板中的至少一个进行松散匹配,从而在其间产生像素方式的松动间隔值; 并且最后输出与匹配模板相关联的标识符,使得所述标识符指示分类。 该分类优选地基于连续色调图案,文本,半色调,高/低频率范围中的至少一个; 和线条图形。 此外,优选地,分类包含关于图像源的信息。

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