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1.发明申请Systems and methods for estimating an image marking process using event mapping of scanned image attributes 有权使用扫描图像属性的事件映射来估计图像标记处理的系统和方法公开(公告)号：US20050134934A1
公开(公告)日：2005-06-23
申请号：US10739176
申请日：2003-12-19
申请人： Gozde Unal , Gaurav Sharma , Reiner Eschbach
发明人： Gozde Unal , Gaurav Sharma , Reiner Eschbach
IPC分类号： H04N1/00
CPC分类号： H04N1/00002 , H04N1/00018 , H04N1/00034 , H04N1/00055 , H04N1/00087
摘要： Methods and systems used to automatically identify the marking process used for an image on a substrate based on spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.
摘要翻译： 用于基于图像的空间特征和/或颜色来自动识别用于基底上的图像的标记过程的方法和系统。 分类和识别的图像类型包括连续色调图像和半色调图像。 在分开标识的半色调图像中，是喷墨图像，静电复印图像和平版印刷图像。 本地适应性图像阈值技术可用于确定图像的空间特征。
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2.发明授权Systems and methods for estimating an image marking process using event mapping of scanned image attributes 有权使用扫描图像属性的事件映射来估计图像标记处理的系统和方法公开(公告)号：US07336401B2
公开(公告)日：2008-02-26
申请号：US10739176
申请日：2003-12-19
申请人： Gozde Unal , Gaurav Sharma , Reiner Eschbach
发明人： Gozde Unal , Gaurav Sharma , Reiner Eschbach
IPC分类号： H04N1/40
CPC分类号： H04N1/00002 , H04N1/00018 , H04N1/00034 , H04N1/00055 , H04N1/00087
摘要： Methods and systems used to automatically identify the marking process used for an image on a substrate based on spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.
摘要翻译： 用于基于图像的空间特征和/或颜色来自动识别用于基底上的图像的标记过程的方法和系统。 分类和识别的图像类型包括连续色调图像和半色调图像。 在分开标识的半色调图像中，是喷墨图像，静电复印图像和平版印刷图像。 本地适应性图像阈值技术可用于确定图像的空间特征。
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3.发明授权Systems and methods for associating color profiles with a scanned input image using spatial attributes 有权使用空间属性将颜色配置文件与扫描的输入图像相关联的系统和方法公开(公告)号：US07474783B2
公开(公告)日：2009-01-06
申请号：US10604201
申请日：2003-06-30
申请人： Gaurav Sharma , Reiner Eschbach , Shen-ge Wang
发明人： Gaurav Sharma , Reiner Eschbach , Shen-ge Wang
CPC分类号： H04N1/6072 , G06T7/90 , H04N1/603
摘要： Methods and systems used to associate color calibration profiles with scanned images based on identifying the marking process used for an image on a substrate using spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.
摘要翻译： 用于基于使用图像的空间特征和/或颜色识别用于衬底上的图像的标记过程的用于将颜色校准轮廓与扫描图像相关联的方法和系统。 分类和识别的图像类型包括连续色调图像和半色调图像。 在分开标识的半色调图像中，是喷墨图像，静电复印图像和平版印刷图像。 本地适应性图像阈值技术可用于确定图像的空间特征。
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4.发明授权Systems and methods for estimating an image marking process using scanned image attributes 有权使用扫描图像属性估计图像标记过程的系统和方法公开(公告)号：US07453604B2
公开(公告)日：2008-11-18
申请号：US10604200
申请日：2003-06-30
申请人： Reiner Eschbach , Gaurav Sharma , Shen-ge Wang
发明人： Reiner Eschbach , Gaurav Sharma , Shen-ge Wang
IPC分类号： G06K15/00
CPC分类号： H04N1/00076 , G06T7/44 , G06T2207/10008 , G06T2207/20021 , H04N1/00002 , H04N1/00005 , H04N1/00037 , H04N1/00039
摘要： Methods and systems used to automatically identify the marking process used for an image on a substrate based on spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.
摘要翻译： 用于基于图像的空间特征和/或颜色来自动识别用于基底上的图像的标记过程的方法和系统。 分类和识别的图像类型包括连续色调图像和半色调图像。 在分开标识的半色调图像中，是喷墨图像，静电复印图像和平版印刷图像。 本地适应性图像阈值技术可用于确定图像的空间特征。
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公开(公告)号：US07328116B2
公开(公告)日：2008-02-05
申请号：US11119972
申请日：2005-05-02
申请人： Raja Bala , Reiner Eschbach , Gaurav Sharma
发明人： Raja Bala , Reiner Eschbach , Gaurav Sharma
CPC分类号： H04N17/04
摘要： A method is presented for deriving gamma for a display monitor that does not involve color matching tasks. The method includes displaying a test pattern to a user on the display monitor. The test pattern includes at least one of a pattern of alternating light and dark regions displayed to the user at different gamma correction levels, or a grayscale character string displayed to the user at different digital gray levels against a background of two known luminance levels. Input is received from the user as to at least one of a gamma correction level that results in the pattern of alternating light and dark regions having light and dark regions of perceived equal size, or a digital gray level for the grayscale character string that results in maximum legibility of the text string against the two known background luminance levels. Gamma is derived for the display monitor based upon the user input.
摘要翻译： 提出了一种用于导出不涉及颜色匹配任务的显示监视器的伽马的方法。 该方法包括在显示监视器上向用户显示测试图案。 测试图案包括以不同的伽马校正水平显示给用户的交替光和暗区域的模式中的至少一个，或者以两个已知亮度水平的背景在不同的数字灰度级显示给用户的灰度字符串中的至少一个。 从用户接收关于导致具有感知相同大小的亮和暗区域的交替的光和暗区域的图案的灰度校正水平或用于灰度字符串的数字灰度级中的至少一个的输入，其导致 文本串相对于两个已知背景亮度级别的最大可读性。 基于用户输入，导出用于显示监视器的伽马。
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公开(公告)号：US20050271265A1
公开(公告)日：2005-12-08
申请号：US10861855
申请日：2004-06-04
申请人： Shen-Ge Wang , Reiner Eschbach , Gaurav Sharma
发明人： Shen-Ge Wang , Reiner Eschbach , Gaurav Sharma
CPC分类号： G06K9/00456
摘要： A method for automatically classifying a printed image, includes scanning the printed image; selecting an n by n block of pixels from the scanned image; calculating an array of DCT coefficients of the pixel block, wherein the array of calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of different image marking processes used to produce printed images; and determining an image marking process used to create the printed image based on the comparison of the DCT coefficients with the array of predetermined values. The array of DCT coefficients may be sampled into a feature set and the feature set provided to a neural network to output the determined image marking process.
摘要翻译： 一种用于自动分类打印图像的方法，包括扫描印刷图像; 从扫描图像中选择n×n个像素块; 计算所述像素块的DCT系数的阵列，其中所计算的DCT系数的阵列代表所述像素块的空间频率和空间取向; 将DCT系数与预定值的阵列进行比较，其中预定值的阵列指示用于产生打印图像的不同图像标记处理; 以及基于DCT系数与预定值的阵列的比较来确定用于创建打印图像的图像标记处理。 DCT系数的阵列可以被采样到特征集中，并且将特征集提供给神经网络以输出确定的图像标记过程。
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公开(公告)号：US07272261B2
公开(公告)日：2007-09-18
申请号：US10861855
申请日：2004-06-04
申请人： Shen-Ge Wang , Reiner Eschbach , Gaurav Sharma
发明人： Shen-Ge Wang , Reiner Eschbach , Gaurav Sharma
IPC分类号： G06K9/62
CPC分类号： G06K9/00456
摘要： A method for automatically classifying a printed image, includes scanning the printed image; selecting an n by n block of pixels from the scanned image; calculating an array of DCT coefficients of the pixel block, wherein the array of calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of different image marking processes used to produce printed images; and determining an image marking process used to create the printed image based on the comparison of the DCT coefficients with the array of predetermined values. The array of DCT coefficients may be sampled into a feature set and the feature set provided to a neural network to output the determined image marking process.
摘要翻译： 一种用于自动分类打印图像的方法，包括扫描印刷图像; 从扫描图像中选择n×n个像素块; 计算所述像素块的DCT系数的阵列，其中所计算的DCT系数的阵列代表所述像素块的空间频率和空间取向; 将DCT系数与预定值的阵列进行比较，其中预定值的阵列指示用于产生打印图像的不同图像标记处理; 以及基于DCT系数与预定值的阵列的比较来确定用于创建打印图像的图像标记处理。 DCT系数的阵列可以被采样到特征集中，并且将特征集提供给神经网络以输出确定的图像标记过程。
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公开(公告)号：US20060247877A1
公开(公告)日：2006-11-02
申请号：US11119972
申请日：2005-05-02
申请人： Raja Bala , Reiner Eschbach , Gaurav Sharma
发明人： Raja Bala , Reiner Eschbach , Gaurav Sharma
IPC分类号： G01R35/00
CPC分类号： H04N17/04
摘要： A method is presented for deriving gamma for a display monitor that does not involve color matching tasks. The method includes displaying a test pattern to a user on the display monitor. The test pattern includes at least one of a pattern of alternating light and dark regions displayed to the user at different gamma correction levels, or a grayscale character string displayed to the user at different digital gray levels against a background of two known luminance levels. Input is received from the user as to at least one of a gamma correction level that results in the pattern of alternating light and dark regions having light and dark regions of perceived equal size, or a digital gray level for the grayscale character string that results in maximum legibility of the text string against the two known background luminance levels. Gamma is derived for the display monitor based upon the user input.
摘要翻译： 提出了一种用于导出不涉及颜色匹配任务的显示监视器的伽马的方法。 该方法包括在显示监视器上向用户显示测试图案。 测试图案包括以不同的伽马校正水平显示给用户的交替光和暗区域的模式中的至少一个，或者以两个已知亮度水平的背景在不同的数字灰度级显示给用户的灰度字符串中的至少一个。 从用户接收关于导致具有感知相同大小的亮和暗区域的交替的光和暗区域的图案的灰度校正水平或用于灰度字符串的数字灰度级中的至少一个的输入，其导致 文本串相对于两个已知背景亮度级别的最大可读性。 基于用户输入，导出用于显示监视器的伽马。
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公开(公告)号：US10460141B2
公开(公告)日：2019-10-29
申请号：US15596535
申请日：2017-05-16
申请人： Gaurav Sharma , Karthik Dinesh
发明人： Gaurav Sharma , Karthik Dinesh
摘要： A method of decoding a coherent RGB color barcode captured by a RGB camera includes: displaying a coherent RGB color barcode on the RGB display; capturing an image of the displayed barcode; performing a pilot block RGB color interference cancellation process to estimate a per pixel color interference; applying the per pixel color interference to the image of the displayed coherent RGB color barcode to extract each separate barcode of the coherent RGB color barcode; binarizing each of the three separate monochrome grey images of each barcode of the coherent RGB color barcode; and decoding each of the three separate binarized monochrome grey images to provide a decoded data for each barcode of the coherent RGB color barcode displayed on the RGB display. A method of decoding an incoherent RGB color barcode captured by a mobile device RGB camera is also described.
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10.发明申请REAL-TIME FOCUS FEEDBACK FOR MOBILE PHONE IMAGES USING BARCODE SYNCHRONIZATION ELEMENTS 审中-公开使用条形码同步元素的移动电话图像的实时聚焦反馈公开(公告)号：US20160358331A1
公开(公告)日：2016-12-08
申请号：US15169202
申请日：2016-05-31
申请人： Gaurav Sharma
发明人： Gaurav Sharma
CPC分类号： G06T7/0012 , A61B5/004 , A61B5/0077 , A61B5/441 , A61B5/445 , A61B5/6898 , G06T2207/30088 , G06T2207/30196 , G06T2207/30204 , H04N5/23212 , H04N9/3176 , H04W88/02
摘要： A method for autofocusing a camera of a mobile device while imaging a low contrast or less well-defined surface includes the steps of: providing a mobile device software application for image capture; affixing or printing at least one or more marker patterns on the low contrast or less well-defined surface; imaging by the mobile device camera the low contrast or less well-defined surface; identifying by the application the at least one or more marker patterns; focusing the mobile device camera by the application based on the at least one or more marker patterns; and acquiring an in focus image by the mobile device camera of the low contrast or less well-defined surface. An adhesive strip imaging assist device for autofocusing a mobile phone camera and an autofocus apparatus with marker pattern projector and marker pattern projector method are also described.
摘要翻译： 一种用于在成像低对比度或较不明确的表面的同时对移动设备的相机进行自动聚焦的方法包括以下步骤：提供用于图像捕获的移动设备软件应用; 在低对比度或不太明确的表面上固定或打印至少一个或多个标记图案; 通过移动设备摄像机对低对比度或不太明确的表面进行成像; 由应用程序识别至少一个或多个标记图案; 基于所述至少一个或多个标记图案，通过所述应用对所述移动设备相机进行聚焦; 并且通过移动设备相机获取低对比度或不太明确的表面的聚焦图像。 还描述了一种用于自动聚焦移动电话摄像机的胶带成像辅助装置和具有标记图案投影仪和标记图案投影仪方法的自动对焦装置。
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