OBJECT BASED ADAPTIVE DOCUMENT RESIZING
    41.
    发明申请
    OBJECT BASED ADAPTIVE DOCUMENT RESIZING 失效
    基于对象的自适应文档

    公开(公告)号:US20110047505A1

    公开(公告)日:2011-02-24

    申请号:US12544561

    申请日:2009-08-20

    IPC分类号: G06F3/048

    摘要: What is disclosed is a resizing method that utilizes segmentation information to classify objects found within a document and then selects the most appropriate resizing technique for each identified object. The present method employs readily available document parsers to reliably extract objects. e.g. text, background, images, graphics, etc., which compose the document. Information obtained from a document parser is utilized to identify the document components for classification. The extracted objects are then classified according to their object type. Each of classified objects are then resized using a resizing technique having been pre-selected for the object type based on their respective abilities to resize certain types of document content over other resizing techniques. The present method advantageously extends smart or content-based scaling and is especially useful for N-up or variable-information printing. The present method finds its intended uses in enhancing N-up and handout options currently provided in a variety of print-drivers.

    摘要翻译: 所公开的是一种调整大小的方法,其利用分段信息对在文档中找到的对象进行分类,然后为每个识别的对象选择最合适的调整大小的技术。 本方法使用容易获得的文档解析器来可靠地提取对象。 例如 文本,背景,图像,图形等等。 从文档解析器获得的信息用于识别用于分类的文档组件。 然后将提取的对象根据其对象类型进行分类。 然后,使用已经针对对象类型预先选择的调整大小的技术来调整每个分类对象的大小,这些大小基于它们各自的能力,以便通过其他大小调整技术调整某些类型的文档内容的大小。 本方法有利地扩展智能或基于内容的缩放,并且对于N上或可变信息打印特别有用。 本方法用于增强目前在各种打印驱动程序中提供的N-up和Handout选项。

    Reformatting binary image data to generate smaller compressed image data size
    42.
    发明授权
    Reformatting binary image data to generate smaller compressed image data size 有权
    重新格式化二进制图像数据以生成较小的压缩图像数据大小

    公开(公告)号:US07894683B2

    公开(公告)日:2011-02-22

    申请号:US12606523

    申请日:2009-10-27

    IPC分类号: G06K9/36

    CPC分类号: H04N1/41 G06K9/00456

    摘要: In various exemplary embodiments, systems include a segmentor to segment text binary image data to a first plane. A subtractor subtracts text binary image from binary image data to generate a non-text binary image data in a second plane. A converter converts non-text binary image data in the second plane into non-text gray scale image data in the second plane. A first compressor compresses the text gray scale image data in the first plane. A second compressor compresses the non-text gray scale image in the second plane.

    摘要翻译: 在各种示例性实施例中,系统包括用于将文本二进制图像数据分割到第一平面的分段器。 减法器从二进制图像数据中减去文本二进制图像,以在第二平面中生成非文本二进制图像数据。 A转换器将第二平面中的非文本二进制图像数据转换成第二平面中的非文本灰度图像数据。 第一压缩器压缩第一平面中的文本灰度图像数据。 第二压缩机压缩第二平面中的非文本灰度图像。

    Data transferability predictor
    43.
    发明授权
    Data transferability predictor 有权
    数据转移预测

    公开(公告)号:US07894679B2

    公开(公告)日:2011-02-22

    申请号:US11170490

    申请日:2005-06-29

    IPC分类号: G06K9/36

    摘要: Present systems and methods provide for adaptive job-size prediction that can enable the user of a scan-to-export function to obtain continuing feedback as original documents are being scanned, regarding the transferability of a scanned and processed data file. The compression method that is selected to process a scanned image is used to predict the output size for the associated data and to provide an estimated size for the job. The estimated size of the data being prepared for output is compared to the amount of storage space that is available at the target device and if the estimate exceeds available space, a signal is generated to terminate the scan or take other appropriate action. The user is also immediately notified if the transfer will fail for other reasons, such as the entry of an invalid target destination address or invalid user authentication.

    摘要翻译: 现有的系统和方法提供了自适应作业大小预测,其可以使扫描到导出功能的用户获得关于扫描和处理的数据文件的可转移性的原始文档被扫描的持续反馈。 选择处理扫描图像的压缩方法用于预测相关数据的输出大小,并为作业提供估计大小。 准备用于输出的数据的估计大小与目标设备可用的存储空间量进行比较,如果估计超过可用空间,则生成信号以终止扫描或采取其他适当的操作。 如果传输由于其他原因(例如输入无效的目标地址或无效用户认证)而导致用户也立即通知用户。

    METHODS FOR BACKGROUND AND NOISE SUPPRESSION IN BINARY TO GRAYSCALE IMAGE CONVERSION
    44.
    发明申请
    METHODS FOR BACKGROUND AND NOISE SUPPRESSION IN BINARY TO GRAYSCALE IMAGE CONVERSION 有权
    背景和噪声抑制方法对于灰度图像转换的二进制

    公开(公告)号:US20110033131A1

    公开(公告)日:2011-02-10

    申请号:US12905736

    申请日:2010-10-15

    IPC分类号: G06K9/40

    CPC分类号: H04N1/40075 H04N1/409

    摘要: One embodiment is a method for suppressing background inaccuracies in binary to grayscale image conversion. A binary image is converted to a grayscale image using a neighbor map. An image enhancement function is applied to the grayscale image to suppress background inaccuracies in the grayscale image. Another embodiment is method for converting a binary pixel of a binary image to a grayscale pixel of a grayscale image and suppressing noise in the grayscale image using selective filtering of the binary image. Another embodiment is a method for converting a binary image to a first grayscale image and suppressing noise in the first grayscale image to produce a noise suppressed grayscale image using selective filtering of the first grayscale image.

    摘要翻译: 一个实施例是用于抑制二进制到灰度图像转换中的背景不准确的方法。 使用邻居图将二进制图像转换为灰度图像。 图像增强功能应用于灰度图像,以抑制灰度图像中的背景不准确。 另一实施例是使用二进制图像的选择性滤波将二进制图像的二进制像素转换为灰度级图像的灰度像素并且抑制灰度图像中的噪声的方法。 另一实施例是一种用于将二进制图像转换为第一灰度图像并且抑制第一灰度图像中的噪声以使用第一灰度图像的选择性滤波产生噪声抑制灰度图像的方法。

    SYSTEM AND METHOD OF BILLING FOR SCANNING SERVICE COSTS
    45.
    发明申请
    SYSTEM AND METHOD OF BILLING FOR SCANNING SERVICE COSTS 有权
    用于扫描服务费用的系统和计费方法

    公开(公告)号:US20100290094A1

    公开(公告)日:2010-11-18

    申请号:US12464326

    申请日:2009-05-12

    申请人: Ramesh Nagarajan

    发明人: Ramesh Nagarajan

    IPC分类号: H04N1/04

    摘要: A system and method of billing for scanning service costs is provided to examine content of a page and apply a cost function to approximate the cost of scanning the page. Examining the page includes detecting an object in the page, determining a type of the detected object, determining an approximate file size of the page, and determining an approximate area of coverage of the detected object within the page. A usage profile of each type of detected object is calculated and stored. The cost function uses the detected object, the approximate file size, the approximate area of coverage, and a weight value associated with the type of detected object to approximate the cost of the page. When costs are calculated over a period of time, the weight value of each type of detected object may be adjusted based on the usage profile for each type of detected object.

    摘要翻译: 提供了用于扫描服务成本的计费系统和方法以检查页面的内容并应用成本函数来近似扫描页面的成本。 检查页面包括检测页面中的对象,确定检测到的对象的类型,确定页面的大致文件大小,以及确定页面内检测到的对象的覆盖范围。 计算并存储每种检测对象的使用情况。 成本函数使用检测到的对象,近似文件大小,覆盖范围的大致面积以及与被检测对象的类型相关联的权重值来近似页面的成本。 当在一段时间内计算成本时,可以基于每种检测到的对象的使用简档来调整每种类型的检测对象的权重值。

    Automatically configuring mesh groups in data networks
    46.
    发明授权
    Automatically configuring mesh groups in data networks 有权
    在数据网络中自动配置网格组

    公开(公告)号:US07787399B2

    公开(公告)日:2010-08-31

    申请号:US12179855

    申请日:2008-07-25

    IPC分类号: H04L12/28

    摘要: In one embodiment, a method for setting up a flow-through mesh group (FTMG) for transmitting link-state packets (LSPs) in a network having a plurality of nodes interconnected by links. The FTMG is a combination of multiple spanning trees for the network through which LSPs are forwarded. FTMG set-up messages are received at ports of each node of the network from peer ports of linked nodes. FTMG set-up messages identify root nodes of the multiple spanning trees and the transmission modes of the peer ports. The FTMG set-up messages are used to determine (1) a root node for each spanning tree, (2) a root port on each node for each spanning tree, and (3) directionality of ports of the nodes. FTMG set-up messages are then used to determine the transmission mode of ports of the nodes and, subsequently, to update the spanning trees and transmission modes, as needed.

    摘要翻译: 在一个实施例中,一种用于建立用于在具有通过链路互连的多个节点的网络中发送链路状态分组(LSP)的流通网状组(FTMG)的方法。 FTMG是通过LSP转发的网络的多个生成树的组合。 FTMG建立消息从链接节点的对端口接收到网络的每个节点的端口。 FTMG建立消息标识了多个生成树的根节点和对端口的传输模式。 FTMG建立消息用于确定(1)每个生成树的根节点,(2)每个生成树的每个节点上的根端口,以及(3)节点端口的方向性。 然后,FTMG建立消息用于确定节点的端口的传输模式,并且随后根据需要更新生成树和传输模式。

    RESIZING A DIGITAL DOCUMENT IMAGE VIA BACKGROUND CONTENT REMOVAL
    47.
    发明申请
    RESIZING A DIGITAL DOCUMENT IMAGE VIA BACKGROUND CONTENT REMOVAL 失效
    通过背景内容删除来修复数字文档图像

    公开(公告)号:US20100201711A1

    公开(公告)日:2010-08-12

    申请号:US12369790

    申请日:2009-02-12

    IPC分类号: G09G5/00

    CPC分类号: G06T3/0012

    摘要: What is disclosed is a system and method for performing a background deletion that exploits both local and global context to remove background and other white space between objects with the aim of retaining structural relationships between objects in the document. A document image is received and seams are carved through the image. Seams composed of uniform background pixels are identified. Adjacent seams containing background pixels are collected into groups of seams. The background seam groups are classified according to their widths. A target number of seams to be removed for each background seam group is then determined based on the classification. Seam groups which are wider will have at least the same or a greater target number of seams to be deleted therefrom than will seam groups of narrower widths. The document image is then resized by deleting seams from the seam groups based on the assigned target number.

    摘要翻译: 公开的是用于执行背景删除的系统和方法,其利用本地和全局上下文来移除对象之间的背景和其他空白空间,目的是保留文档中的对象之间的结构关系。 收到文件图像,并通过图像刻成接缝。 识别由均匀背景像素构成的接缝。 包含背景像素的相邻接缝被收集成一组接缝。 背景缝组根据其宽度进行分类。 然后基于分类确定要为每个背景接缝组去除的目标接缝数目。 与较窄宽度的接缝组相比,更宽的接缝组将具有至少相同或更大的目标数量的接缝。 然后通过基于分配的目标号码从接缝组中删除接缝来调整文档图像的大小。

    Dynamic range detection and adjustment
    50.
    发明授权
    Dynamic range detection and adjustment 失效
    动态范围检测和调整

    公开(公告)号:US07555172B2

    公开(公告)日:2009-06-30

    申请号:US11263249

    申请日:2005-10-31

    IPC分类号: G06K9/32

    摘要: An original image is received. The original image is divided into tiles. A whitepoint value of each tile is determined. A blackpoint value of each tile is determined. A whitepoint value of each pixel in the image is determined by interpolating the determined whitepoint values of neighboring tiles. A blackpoint of each pixel in the image is determined by interpolating the determined blackpoint values of neighboring tiles.

    摘要翻译: 收到原始图像。 原始图像分为瓷砖。 确定每个瓦片的白色点值。 确定每个瓦片的黑点值。 图像中每个像素的白点值通过内插确定的相邻瓦片的白点值来确定。 通过内插确定的相邻瓦片的黑点值来确定图像中每个像素的黑点。