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    Method and System for Determining an Object Type from Raster Data in an Image Forming Apparatus
    11.
    发明申请
    Method and System for Determining an Object Type from Raster Data in an Image Forming Apparatus 有权
    用于在图像形成装置中从栅格数据确定对象类型的方法和系统

    公开(公告)号：US20140268194A1

    公开(公告)日：2014-09-18

    申请号：US14180583

    申请日：2014-02-14

    Applicant: KYOCERA Document Solutions Inc.

    Inventor： Eric Pugh ,  Michael M. Chang

    IPC: G06K15/02

    CPC classification number: G06K15/1878 ,  H04N1/40 ,  H04N1/40062 ,  H04N1/60 ,  H04N1/6072

    Abstract: A method for determining a color profile from received raster data and printing the raster data is provided. Color profiles provide a mapping from a color space of the raster data to a color space of the printer, which typically uses CMYK toner or ink. A text color profile may be employed to print crisper text, or a photo color profile may be employed to produce better images. The raster data includes a plurality of raster scan lines containing digital pixel values. The method includes determining a number of sequentially repeated digital pixel values and a number of sequentially non-repeated digital pixel values for the plurality of raster scan lines. A color profile is selected based on a determination between the repeated and non-repeated digital pixel values. An example image forming apparatus that may carry out the method is also provided.

    Abstract translation: 提供了一种用于从接收的光栅数据确定颜色轮廓并打印光栅数据的方法。 颜色配置文件提供从光栅数据的颜色空间到打印机的颜色空间的映射，通常使用CMYK墨粉或墨水。 可以使用文本颜色配置文件来打印更干净的文本，或者可以使用照片颜色配置文件来产生更好的图像。 栅格数据包括包含数字像素值的多个光栅扫描线。 该方法包括确定多个光栅扫描线的顺序重复数字像素值和多个顺序非重复数字像素值的数量。 基于重复和非重复数字像素值之间的确定来选择颜色分布。 还提供了可以执行该方法的示例性图像形成装置。

    Methods and system for ink limit adjustments to ICC profiles for color printing
    12.
    发明授权
    Methods and system for ink limit adjustments to ICC profiles for color printing 有权

    公开(公告)号：US12126781B2

    公开(公告)日：2024-10-22

    申请号：US18394071

    申请日：2023-12-22

    Applicant: Kyocera Document Solutions Inc.

    Inventor： Michael M. Chang ,  Javier A. Morales

    IPC: H04N1/60 ,  G06K15/02

    CPC classification number: H04N1/605 ,  G06K15/1802 ,  H04N1/6097

    Abstract: A color printing system manages ICC profiles by controlling ink use without performing the ICC profile creation operations. To obtain an ink limit for an ICC profile, a table associated with the ICC profile is parsed to determine the ink limit. The ink limit is decreased or increased. For an ink limit decrease, a color over the decreased ink limit is adjusted to meet the new ink limit. The ICC profile is updated accordingly. For an ink limit increase, the combination of primary colors are boosted by a percentage amount. Checks are made with regard to the volume-based ink limit and an quality check operation to accepted the boosted amount. The ICC profile is updated accordingly.

    Color Conversion Using Neural Networks
    14.
    发明申请
    Color Conversion Using Neural Networks 有权

    公开(公告)号：US20210133522A1

    公开(公告)日：2021-05-06

    申请号：US16668134

    申请日：2019-10-30

    Applicant: KYOCERA DOCUMENT SOLUTIONS INC.

    Inventor： Michael M. Chang ,  Alexander Daniel Friedman

    IPC: G06K15/02 ,  G06N3/08 ,  G06N3/04 ,  G06F16/22

    Abstract: An example system includes a processor and a non-transitory computer-readable medium having stored therein instructions that are executable to cause the system to perform various functions. The functions include obtaining a source profile associated with a print job and a destination profile associated with the print job. The functions also include, based on the source profile and the destination profile, generating a color conversion object that maps input colors of a source color space to output colors of a destination color space. In addition, the functions include training a neural network using the color conversion object so as to obtain weights associated with two or more hidden layers of nodes of the neural network. Further, the functions include receiving color data corresponding to pixels of the print job, and converting the color data from the source color space to the destination color space using the neural network.

    Selection of Halftoning Technique Based on Microstructure Detection
    17.
    发明申请
    Selection of Halftoning Technique Based on Microstructure Detection 审中-公开

    公开(公告)号：US20180084149A1

    公开(公告)日：2018-03-22

    申请号：US15359957

    申请日：2016-11-23

    Applicant: KYOCERA Document Solutions Inc.

    Inventor： Michael M. Chang ,  Dongpei Su ,  Kenneth A. Schmidt

    IPC: H04N1/405

    CPC classification number: H04N1/4055 ,  H04N1/4051 ,  H04N2201/0094

    Abstract: An example embodiment may involve obtaining a digital image containing a pixel block. An AM halftone may be configured to be applied to the digital image by default. The example embodiment may also involve deriving, from the pixel block, a bitmap defining foreground and non-foreground pixels of the pixel block. The example embodiment may also involve sequentially scanning horizontal lines of the bitmap to identify clusters of foreground pixels. Each pixel in a particular cluster of the clusters of foreground pixels may be either (i) the only pixel in the particular cluster, or (ii) vertically or horizontally adjacent to another pixel in the particular cluster. The example embodiment may also involve, possibly based on the clusters of foreground pixels identified in the bitmap, applying an FM halftone to the digital image, and causing the digital image to be printed with the applied FM halftone.

    Digital Image Color Plane Compression
    20.
    发明申请
    Digital Image Color Plane Compression 有权
    数字图像彩色平面压缩

    公开(公告)号：US20170064153A1

    公开(公告)日：2017-03-02

    申请号：US15353556

    申请日：2016-11-16

    Applicant: KYOCERA Document Solutions Inc.

    Inventor： Michael M. Chang ,  Kenneth A. Schmidt ,  Dongpei Su ,  Sheng Li ,  Kendrick Wong ,  Alfred Abkarian ,  Stephen L. Schafer

    IPC: H04N1/64

    CPC classification number: H04N1/648 ,  H04N1/413 ,  H04N1/64 ,  H04N9/64 ,  H04N19/119 ,  H04N2201/0094

    Abstract: An example embodiment may involve obtaining an a×b pixel macro-cell from an input image. The a×b pixel macro-cell may contain 4 non-overlapping m×n pixel cells. The a×b pixels in the a×b pixel macro-cell may have respective color values and may be associated with respective object type tags. The example embodiment may also include selecting a compression technique to either (i) compress the a×b pixel macro-cell as a whole, or (ii) compress the a×b pixel macro-cell by compressing each of the 4 non-overlapping m×n pixel cells separately. The example embodiment may further include compressing the a×b pixel macro-cell according to the selected compression technique, and writing a representation of the compressed a×b pixel macro-cell to a computer-readable output medium.

    Abstract translation: 示例性实施例可以涉及从输入图像获得a×b像素宏小区。 a×b像素宏单元可以包含4个非重叠的m×n个像素单元。 a×b像素宏单元中的a×b像素可以具有各自的颜色值，并且可以与相应的对象类型标签相关联。 该示例性实施例还可以包括选择压缩技术以（i）整体地压缩a×b个像素宏小区，或者（ii）通过压缩4个不重叠的每个像素宏小区来压缩a×b像素宏小区 m×n个像素单元。 示例性实施例还可以包括根据所选择的压缩技术来压缩a×b像素宏小区，并将压缩的a×b像素宏小区的表示写入计算机可读输出介质。

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