System and method for color space conversion with reduced artifacts
    23.
    发明授权
    System and method for color space conversion with reduced artifacts 有权
    具有减少伪像的色彩空间转换的系统和方法

    公开(公告)号:US08103096B2

    公开(公告)日:2012-01-24

    申请号:US12201069

    申请日:2008-08-29

    IPC分类号: G06K9/00 G09G5/02

    CPC分类号: H04N1/6058

    摘要: A method and system convert an original digital image being represented by a first color space to a digital image being represented by a second color space by transforming the original image data represented by a first color space to second image data being represented by a second color space, the transformation causing the colors of the transformed image data to be substantially encodable in the second color space. The second image data represented by the second color space is transformed to third image data represented by the first color space, the transformation causing the colors of the transformed image data to be substantially encodable in the first color space. Distortions in the third image data represented by the first color space are corrected to form corrected image data represented by the first color space, and the corrected image data represented by the first color space is transformed to fourth image data represented by the second color space.

    摘要翻译: 一种方法和系统,通过将由第一颜色空间表示的原始图像数据变换为由第二颜色空间表示的第二图像数据将由第一颜色空间表示的原始数字图像转换为由第二颜色空间表示的数字图像 导致变换后的图像数据的颜色基本上可编码在第二颜色空间中的变换。 由第二颜色空间表示的第二图像数据被变换为由第一颜色空间表示的第三图像数据,导致变换后的图像数据的颜色能够基本上可编码在第一颜色空间中的变换。 校正由第一颜色空间表示的第三图像数据中的变形,以形成由第一颜色空间表示的校正图像数据,并将由第一颜色空间表示的校正图像数据变换为由第二颜色空间表示的第四图像数据。

    ADAPTIVE SPATIAL GAMUT MAPPING VIA DYNAMIC THRESHOLDING
    24.
    发明申请
    ADAPTIVE SPATIAL GAMUT MAPPING VIA DYNAMIC THRESHOLDING 有权
    通过动态阈值进行自适应空间拍摄

    公开(公告)号:US20100272355A1

    公开(公告)日:2010-10-28

    申请号:US12429429

    申请日:2009-04-24

    IPC分类号: G06K9/00

    CPC分类号: H04N1/6069

    摘要: What is disclosed is a novel system and method for performing spatial gamut mapping on a received input color image having a plurality of pixels. A standard gamut-mapping algorithm is applied to the input color image to produce a gamut-mapped color image. A difference is computed between a selected channel of the input color image and the gamut-mapped image to produce a difference image. A local measure of complexity is derived for a given pixel in the difference image. One or more parameter values of a spatial bilateral filter are obtained from a lookup table based on the computed local measure of complexity. The spatial bilateral filter is applied, using the obtained parameter values, to the current pixel of the difference image to produce a modified pixel in a modified difference image. Thereafter, a modified gamut-mapped color image is obtained from the modified difference image and the gamut-mapped color image.

    摘要翻译: 所公开的是用于对具有多个像素的接收输入彩色图像执行空间色域映射的新型系统和方法。 将标准色域映射算法应用于输入彩色图像以产生色域映射彩色图像。 在输入彩色图像的选定通道和色域映射图像之间计算差异以产生差分图像。 导出差分图像中给定像素的局部度量度量。 基于所计算的本地复杂度测量,从查找表获得空间双边滤波器的一个或多个参数值。 使用获得的参数值将空间双边滤波器应用于差分图像的当前像素,以产生经修改的差分图像中的修改像素。 此后,从修改的差分图像和色域映射彩色图像获得修改的色域映射彩色图像。

    Color image gamut enhancement preserving spatial variation
    25.
    发明授权
    Color image gamut enhancement preserving spatial variation 有权
    彩色图像色域增强保留空间变化

    公开(公告)号:US07768671B2

    公开(公告)日:2010-08-03

    申请号:US11522739

    申请日:2006-09-18

    IPC分类号: H04N1/60 G03F3/08

    CPC分类号: H04N1/6058

    摘要: An image characterized by an original image gamut is received in an imaging device characterized by a device gamut. The original image gamut is enhanced to a first set of modified color values that occupy a greater fraction of the device gamut than the original image gamut. The modified color values of each pixel are mapped to new color values within the device gamut.

    摘要翻译: 以原始图像色域为特征的图像被接收在以设备色域为特征的成像设备中。 原始图像色域被增强为占原始图像色域的设备色域的更大部分的第一组修改的颜色值。 每个像素的修改颜色值被映射到设备色域内的新颜色值。

    Tinted edge enhancement using look-up table edge pixel identification
    26.
    发明授权
    Tinted edge enhancement using look-up table edge pixel identification 失效
    有色边缘增强使用查找表边缘像素识别

    公开(公告)号:US07755638B2

    公开(公告)日:2010-07-13

    申请号:US11318131

    申请日:2005-12-23

    IPC分类号: G09G5/02

    CPC分类号: H04N1/4055 H04N1/4092

    摘要: The present application is a method of producing digital image objects with enhanced halftone edges. The method operates by selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating edge-identification codes from the plurality of edge-state codes using at least one look-up table; and, utilizing the edge-identification code to select and apply to the digital image at the target pixel either a first halftone screen having a first fundamental frequency and a first angle or a second halftone screen having a second fundamental frequency and a second angle, wherein the second frequency and second angle are harmonically matched to the first frequency and first angle. The method solves the problem of ragged edges on halftone tints as an automated, operation, with a computing architecture that is readily adapted to a wide variety of tinted edge conditions, and which can be readily adapted to real-time applications.

    摘要翻译: 本申请是生产具有增强的半色调边缘的数字图像对象的方法。 该方法通过选择数字图像内的目标像素位置来操作; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成边缘识别码; 并且利用边缘识别码选择并应用于目标像素处的数字图像,即具有第一基频和第一角度的第一半色调屏幕或具有第二基频和第二角度的第二半色调屏幕,其中 第二频率和第二角度与第一频率和第一角度谐波匹配。 该方法解决了作为自动化操作的半色调色调上的粗糙边缘的问题,其具有易于适应各种着色边缘条件的计算架构,并且其可以容易地适应于实时应用。

    Edge pixel identification
    27.
    发明授权
    Edge pixel identification 失效
    边缘像素识别

    公开(公告)号:US07565015B2

    公开(公告)日:2009-07-21

    申请号:US11317818

    申请日:2005-12-23

    IPC分类号: G06K9/48 G06K9/40

    摘要: The teachings provided herein disclose a method for the identification of edge pixels within a digital image. The method operates by generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within a given observation window, and generating an edge-identification code from the plurality of edge-state codes using a look-up table. The edge identification provides information that can be used for subsequent treatments such as rendering anti-aliased pixels, selecting preferred halftoning and tone reproduction for edge pixels, corner sharpening, and object recognition and segmentation.

    摘要翻译: 本文提供的教导公开了一种用于识别数字图像内的边缘像素的方法。 该方法通过为给定观察窗口内的多个像素相邻向量对生成边缘状态码,并且使用查找表从多个边缘状态码生成边缘识别码来操作。 边缘识别提供可用于后续处理的信息,例如渲染抗锯齿像素,选择边缘像素的优选半色调和色调再现,角锐化和对象识别和分割。

    Anti-aliased tagging using look-up table edge pixel identification
    28.
    发明授权
    Anti-aliased tagging using look-up table edge pixel identification 失效
    使用查找表边缘像素识别的抗锯齿标签

    公开(公告)号:US07518618B2

    公开(公告)日:2009-04-14

    申请号:US11317782

    申请日:2005-12-23

    IPC分类号: G09G5/00

    CPC分类号: G06T11/203

    摘要: The teachings provided herein disclose an image processing method for rendering a digital image possessing anti-aliased pixels by selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating edge-identification codes from the plurality of edge-state codes using at least one look-up table; and, utilizing the edge-identification codes to select and apply to the digital image at the target pixel either anti-aliased rendering or conventional halftoning. The anti-aliasing may employ pixel signals that are high addressable and directionally biased to a particular orientation.

    摘要翻译: 本文提供的教导公开了一种图像处理方法,用于通过选择数字图像内的目标像素位置来渲染具有抗锯齿像素的数字图像; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成边缘识别码; 并且利用边缘识别码选择并应用于目标像素处的数字图像,即抗锯齿渲染或常规半色调。 抗混叠可以采用高可寻址性并且被定向偏置于特定取向的像素信号。

    Edge pixel identification
    29.
    发明申请
    Edge pixel identification 失效
    边缘像素识别

    公开(公告)号:US20070147684A1

    公开(公告)日:2007-06-28

    申请号:US11317818

    申请日:2005-12-23

    IPC分类号: G06K9/48 G06K9/40

    摘要: The teachings provided herein disclose a method for the identification of edge pixels within a digital image. The method operates by generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within a given observation window, and generating an edge-identification code from the plurality of edge-state codes using a look-up table. The edge identification provides information that can be used for subsequent treatments such as rendering anti-aliased pixels, selecting preferred halftoning and tone reproduction for edge pixels, corner sharpening, and object recognition and segmentation.

    摘要翻译: 本文提供的教导公开了一种用于识别数字图像内的边缘像素的方法。 该方法通过为给定观察窗口内的多个相邻像素向量对生成边缘状态码,并且使用查找表从多个边缘状态码生成边缘识别码来操作。 边缘识别提供可用于后续处理的信息,例如渲染抗锯齿像素,选择边缘像素的优选半色调和色调再现,角锐化和对象识别和分割。

    Compact high addressability rendering
    30.
    发明授权
    Compact high addressability rendering 有权
    紧凑的高可寻址性渲染

    公开(公告)号:US06608701B1

    公开(公告)日:2003-08-19

    申请号:US09348378

    申请日:1999-07-07

    IPC分类号: G06K936

    CPC分类号: H04N1/4052 H04N1/4056

    摘要: A compact rendering processor for processing image data including a multi-bit halftone region generates high addressability pixels. The compact rendering processor includes a tagging sub-processor operating on the image data to identify a target pixel and a neighboring pixel to determine a fill-order. The compact rendering processor also includes a rendering sub-processor that converts the target pixel into a high addressability pixel based upon the fill-order. Optionally, a diffusion sub-processor can be included to diffuse an error resulting from the conversion of the target pixel into a high addressability pixel to other pixels within the image data.

    摘要翻译: 用于处理包括多位半色调区域的图像数据的紧凑渲染处理器产生高可寻址性像素。 紧凑渲染处理器包括对图像数据进行操作的标记子处理器,以识别目标像素和相邻像素以确定填充顺序。 紧凑渲染处理器还包括渲染子处理器,其基于填充顺序将目标像素转换为高可寻址性像素。 可选地,可以包括扩散子处理器以将由目标像素转换成高可寻址性像素所产生的误差扩散到图像数据内的其他像素。