CONNECTED COMPONENT ANALYSIS WITH MULTI-THRESHOLDING TO SEGMENT HALFTONES
    21.
    发明申请
    CONNECTED COMPONENT ANALYSIS WITH MULTI-THRESHOLDING TO SEGMENT HALFTONES 有权
    连接分量分析与多分段分段分析

    公开(公告)号:US20150146261A1

    公开(公告)日:2015-05-28

    申请号:US14089894

    申请日:2013-11-26

    Abstract: Methods and systems receive an input image into a computerized device, create different binary images by applying different threshold measures to the input image using the computerized device, and identify components of a first binary image of the binary images using the computerized device. Such methods and systems also compare pixels of each of the components of the first binary image with corresponding pixels of a second binary image of the binary images to identify pixel differences using the computerized device. This allows these methods and systems to identify halftone areas within the input image based on the pixel differences exceeding a limit using the computerized device.

    Abstract translation: 方法和系统将输入图像接收到计算机化设备中,通过使用计算机化设备对输入图像应用不同的阈值度量来创建不同的二进制图像,并使用计算机化设备识别二进制图像的第一二进制图像的分量。 这样的方法和系统还将第一二进制图像的每个分量的像素与二进制图像的第二二进制图像的对应像素进行比较,以使用计算机化的设备来识别像素差异。 这允许这些方法和系统基于使用计算机化设备的超过极限的像素差异来识别输入图像内的半色调区域。

    Adaptive autocolor detection based on media color

    公开(公告)号:US11128782B1

    公开(公告)日:2021-09-21

    申请号:US16812652

    申请日:2020-03-09

    Abstract: A method for detecting background color of a scanned document uses dynamic weights to adjust components of the L*a*b* color space. In accordance with one aspect of the disclosure, the L*a*b* values belonging to pixels within a block are applied to a series of thresholds. In response to the L*a*b* values meeting the thresholds, a given color pixel within the block is reclassified as being monochromatic. The weight values are dynamically updated based on at least one of the L*a*b* values of the given pixel. The thresholding is repeated for remaining pixels in the document. Using the classified pixels, an output document is generated where the background pixels are monochromatic. The output document is transmitted to a display device in communication with the server computer.

    METHODS AND SYSTEMS FOR ENHANCING IMAGE QUALITY FOR DOCUMENTS WITH HIGHLIGHTED CONTENT

    公开(公告)号:US20200028987A1

    公开(公告)日:2020-01-23

    申请号:US16039405

    申请日:2018-07-19

    Abstract: Examples of systems and methods for enhancing image quality for documents with highlighted portions are described. A highlighted portion from a received input is detected. The highlighted portion is automatically segmented as a text layer and the remaining portion is further segmented as a separate text layer and an image layer. A resolution is assigned to the highlighted portion, wherein the resolution assigned to the highlighted portion is greater than the respective resolution for the text layer and the image layer, to improve quality of the highlighted portion. The text layer corresponding to the highlighted portion and the separate text layer and the image layer are integrated together to generate a scanned document in a Mixed Raster Content (MRC) file format.

    Single color background mixed raster content (MRC)

    公开(公告)号:US10142520B1

    公开(公告)日:2018-11-27

    申请号:US15635260

    申请日:2017-06-28

    Abstract: The present disclosure discloses methods and systems for generating a mixed raster content (MRC) format file for single background color image document. The method includes receiving an input document at an image capturing device. The input document is segmented into an image layer and a text layer. Then it is determined whether the image layer including a single background color. Upon affirmative determination, a new text layer with a background color mask is generated. The text layer and the new text layer is compressed using a compression scheme. The compressed text layer and the new text layer are integrated to generate an image data in the MRC file format. The generated image data is stored in a memory device.

    METHOD AND SYSTEM FOR IMAGE COMPRESSION
    26.
    发明申请

    公开(公告)号:US20180310011A1

    公开(公告)日:2018-10-25

    申请号:US15493674

    申请日:2017-04-21

    CPC classification number: H04N19/27 H04N1/642

    Abstract: An image compression method includes compressing an input image with first and second compression methods to generate first and second (e.g., lossless and lossy) compressed images. First and second residual layers are generated, based on a difference between the first and second compressed images. Connected components in the residual layers are identified. Each connected component includes a group of one or more pixels that, when mapped to the second compressed image is connected, in first and second directions, to pixels in the second compressed image. A compressed image is generated, which includes, for a connected component identified in the first residual layer, removing corresponding pixels from the second compressed image, and for a connected component identified in the second residual layer, adding corresponding pixels to the second compressed image. The system and method can thus provide file size savings associated with lossy compression while avoiding character replacement.

    METHODS AND SYSTEMS FOR PROCESSING DOCUMENTS
    28.
    发明申请
    METHODS AND SYSTEMS FOR PROCESSING DOCUMENTS 有权
    处理文件的方法和系统

    公开(公告)号:US20160098596A1

    公开(公告)日:2016-04-07

    申请号:US14505517

    申请日:2014-10-03

    CPC classification number: G06K9/00456 G06F17/212 G06K9/00422 G06K9/2063

    Abstract: Methods and systems for classifying a region of interest in an electronic document. A first region from the electronic document is extracted. The first region includes at least the region of interest. A first projection profile of pixels is determined in the region of interest. The first projection profile of pixels is indicative of a presence of a content in the region of interest. The region of interest is classified in at least one category based on a comparison of the first projection profile with a predetermined projection profile associated with the region of interest.

    Abstract translation: 在电子文件中分类感兴趣区域的方法和系统。 提取电子文档的第一区域。 第一区域至少包括感兴趣的区域。 在感兴趣的区域中确定像素的第一投影轮廓。 像素的第一投影轮廓指示感兴趣区域中的内容的存在。 基于第一投影轮廓与与感兴趣区域相关联的预定投影轮廓的比较,感兴趣区域被分类为至少一个类别。

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