Image processing based on automatic image-type detection
    61.
    发明授权
    Image processing based on automatic image-type detection 有权
    基于自动图像检测的图像处理

    公开(公告)号:US09055251B2

    公开(公告)日:2015-06-09

    申请号:US14034690

    申请日:2013-09-24

    CPC classification number: H04N1/40062 G06F3/1208 G06F3/126

    Abstract: Methods and systems divide an image into image blocks, determine a number of high-variation blocks within valid image blocks, determine a page variance measure by dividing the number of high-variation blocks by the total number of valid image blocks, and classify the image as comprising a halftone and/or text image if the page variance measure exceeds a halftone threshold. Such methods and systems classify the image as being a continuous tone image if the page variance measure does not exceed the halftone threshold and a text index is below a text index threshold, and classify the image as being a continuous tone and text image if the page variance measure does not exceed the halftone threshold and the text index is not below the text index threshold. Further, such methods and systems select an image processing mode based on such image classifications.

    Abstract translation: 方法和系统将图像划分为图像块,确定有效图像块内的多个高变化块,通过将高变化块的数量除以有效图像块的总数来确定页面方差度量,并对图像进行分类 如果页面方差度量超过半色调阈值,则包括半色调和/或文本图像。 如果页面差异度量不超过半色调阈值并且文本索引低于文本索引阈值,则这样的方法和系统将图像分类为连续色调图像,并将图像分类为连续色调和文本图像,如果页面 方差度量不超过半色调阈值,文本索引不低于文本索引阈值。 此外,这样的方法和系统基于这样的图像分类来选择图像处理模式。

    CONNECTED COMPONENT ANALYSIS WITH MULTI-THRESHOLDING TO SEGMENT HALFTONES
    62.
    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。

    IMAGE PROCESSING BASED ON AUTOMATIC IMAGE-TYPE DETECTION
    63.
    发明申请
    IMAGE PROCESSING BASED ON AUTOMATIC IMAGE-TYPE DETECTION 有权
    基于自动图像检测的图像处理

    公开(公告)号:US20150085320A1

    公开(公告)日:2015-03-26

    申请号:US14034690

    申请日:2013-09-24

    CPC classification number: H04N1/40062 G06F3/1208 G06F3/126

    Abstract: Methods and systems divide an image into image blocks, determine a number of high-variation blocks within valid image blocks, determine a page variance measure by dividing the number of high-variation blocks by the total number of valid image blocks, and classify the image as comprising a halftone and/or text image if the page variance measure exceeds a halftone threshold. Such methods and systems classify the image as being a continuous tone image if the page variance measure does not exceed the halftone threshold and a text index is below a text index threshold, and classify the image as being a continuous tone and text image if the page variance measure does not exceed the halftone threshold and the text index is not below the text index threshold. Further, such methods and systems select an image processing mode based on such image classifications.

    Abstract translation: 方法和系统将图像划分为图像块,确定有效图像块内的多个高变化块,通过将高变化块的数量除以有效图像块的总数来确定页面方差度量,并对图像进行分类 如果页面方差度量超过半色调阈值,则包括半色调和/或文本图像。 如果页面差异度量不超过半色调阈值并且文本索引低于文本索引阈值,则这样的方法和系统将图像分类为连续色调图像,并将图像分类为连续色调和文本图像,如果页面 方差度量不超过半色调阈值,文本索引不低于文本索引阈值。 此外,这样的方法和系统基于这样的图像分类来选择图像处理模式。

    Methods and systems for automatically managing output size of a document submitted for scanning

    公开(公告)号:US11765288B1

    公开(公告)日:2023-09-19

    申请号:US17747382

    申请日:2022-05-18

    Abstract: The present disclosure discloses methods and systems for automatically determining one or more optimal scan settings to manage an output size of a document submitted for scanning at a multi-function device. The method includes receiving the document for scanning from a user, wherein the document includes one or more pages having content. As scanning activity is progressed at the multi-function device, an output file size is displayed to the user via a user interface in real-time. Then, an input from the user is received on the displayed output file size. Based on the input from the user, one or more scan settings are determined to be applied on the already scanned pages and remaining pages of the document to be scanned, to manage the output size of an output scanned file to be generated. Thereafter, the determined one or more scan settings are applied such that the output size of the scanned file is in accordance with the requirement. Finally, the scanned file is output of the required size.

    System and method for printing and reusing customized sample sets while printing documents

    公开(公告)号:US11231893B2

    公开(公告)日:2022-01-25

    申请号:US16930734

    申请日:2020-07-16

    Abstract: Systems, methods, and devices are configured to print and reuse customized sample sets while printing documents. They include receiving instructions to retrieve an electronic document and processing the electronic document in a sample print mode. The electronic document are arranged in a plurality of page with each page containing readable information. They further include identifying a subset of pages of the electronic document to print in a first phase of the sample print mode and printing the subset of pages on a physical readable media in the sample print mode. They additionally include displaying a message on a user interface after completion of the first phase of the sample print mode and printing remaining pages of the electronic document on a physical readable media in response to user input based on the displayed message.

    ADAPTIVE AUTOCOLOR DETECTION BASED ON MEDIA COLOR

    公开(公告)号:US20210281715A1

    公开(公告)日:2021-09-09

    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:US10602019B2

    公开(公告)日:2020-03-24

    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.

    Method and system for optical character recognition (OCR) of multi-language content

    公开(公告)号:US10460192B2

    公开(公告)日:2019-10-29

    申请号:US15299717

    申请日:2016-10-21

    Abstract: A method and system are provided for optical character recognition (OCR) of multi-language content. The method includes extracting a text portion from an image received from a user-computing device. The text portion comprises a plurality of keywords associated with a plurality of languages. The method further includes segmenting the plurality of keywords into a plurality of layers. Each layer of the plurality of layers comprises one or more keywords which are associated with a language. The method further comprise generating an OCR output of each of the plurality of layers based on the language associated with the one or more keywords in each of the plurality of layers. The method further comprises generating an electronic document of the received image based on the generated OCR output of each of the plurality of layers. The method further includes transmitting the generated electronic document to the user-computing device.

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