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    • 31. 发明申请
    • Enhancing black & white image quality with limited image processing resources
    • 以有限的图像处理资源提升黑白图像质量
    • US20050063013A1
    • 2005-03-24
    • US10667703
    • 2003-09-22
    • Xing LiRamesh Nagarajan
    • Xing LiRamesh Nagarajan
    • G06T5/00H04N1/40G06K9/34G06K9/54G06K15/00G06T7/00
    • H04N1/40G06T5/001G06T2207/10008G06T2207/20012
    • What is disclosed is a system and method to improve the black and white image quality of tag-based color imaging systems in a color image path by making use of the additional two channels available. The present method exploits the resources of the two un-utilized channels during black and white processing. The single channel black-and white image is replicated into all three channels at the output of the storage memory. Segmentation tags are fed into each channel to control the image processing. Additional filters, TRCs and rendering methods will be available due to processing in all the 3 channels. Resources may additionally include such things as: filters, TRC mapping, and halftoning modules. The video output from the output image processing is merged back based on the segmentation tags. Different de-screen filters with various cut-off frequencies and enhancement filters are applied to the image based on pixel classification. One example of such an application is to use different cut-off frequency filters for text-on-tint pixels and different halftone frequency pixels. The number of TRCs and halftone screens available per page has also increased by 3 times. The method also applies to any image path that has extra channels available for certain scanning/copying modes.
    • 公开的是通过利用可用的附加两个通道来改善彩色图像路径中基于标签的彩色成像系统的黑白图像质量的系统和方法。 本方法在黑白处理中利用两个未被利用的信道的资源。 单通道黑白图像被复制到存储存储器输出端的所有三个通道中。 分割标签被馈送到每个通道以控制图像处理。 由于所有3个通道中的处理,附加的过滤器,TRC和渲染方法将可用。 资源可能还包括以下内容:过滤器,TRC映射和半色调模块。 基于分割标签将输出图像处理的视频输出合并回来。 基于像素分类,将具有各种截止频率和增强滤波器的不同去屏滤波器应用于图像。 这种应用的一个例子是对色彩文字像素和不同的半色调频率像素使用不同的截止频率滤波器。 每页可用的TRC和半色调屏幕数量也增加了3倍。 该方法也适用于具有可用于特定扫描/复印模式的额外通道的任何图像路径。
    • 39. 发明授权
    • Automatic background detection of scanned documents
    • 扫描文件的自动背景检测
    • US06674899B2
    • 2004-01-06
    • US09739405
    • 2000-12-18
    • Ramesh NagarajanXing LiFrancis K. Tse
    • Ramesh NagarajanXing LiFrancis K. Tse
    • G06K900
    • H04N1/4074H04N1/38
    • A method for generating a background statistics that distinguishes between gray level information from document areas and non-document areas. The method includes determining a full page background statistics from selected pixels within a scanned area; determining a sub-region background statistics from selected pixels within a sub-region of the scanned area; determining if the sub-region background statistics corresponds to image data from a non-document area; determining if the full page background statistics is corrupted; and generating a validated full page background statistics if the full page background statistics is corrupted.
    • 一种用于生成从文档区域和非文档区域区分灰度级信息的背景统计信息的方法。 该方法包括从扫描区域内的所选像素确定全页背景统计; 从扫描区域的子区域内的所选像素确定子区域背景统计; 确定子区域背景统计是否对应于来自非文档区域的图像数据; 确定全页背景统计信息是否已损坏; 并且如果整页背景统计信息已损坏,则生成经过验证的全页背景统计信息。