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    • 114. 发明授权
    • Soft picture/graphics classification system and method
    • 软图片/图形分类系统和方法
    • US06947597B2
    • 2005-09-20
    • US09965880
    • 2001-09-28
    • Ying-wei LinStuart A. SchweidJeng-nan ShiauRaja BalaZhigang Fan
    • Ying-wei LinStuart A. SchweidJeng-nan ShiauRaja BalaZhigang Fan
    • G06K9/20G06T5/00H04N1/40G06K9/62
    • H04N1/40062G06K9/00456
    • A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
    • 一种用于图像处理的方法和系统,结合使用SGLD纹理(例如,方差,偏差,偏度和适应度)的自然图像和合成图像之间的图像分类,颜色离散性(例如,R_L,R_U和R_V归一化直方图 )或边缘特征(例如,每个检测到的边缘的像素,水平边缘和垂直边缘)。 在另一个实施例中,提供了使用SGLD纹理,颜色离散性和边缘特征的组合的图片/图形分类器。 在另一个实施例中,提供了使用两(2)或更多SGLD纹理,颜色离散性和边缘特征的组合的“软”图像分类器。 “软”分类器使用图像特征来对图像,图形或模糊类中的输入图像的区域进行分类。
    • 115. 发明申请
    • Spatially varying luminance compression gamut mapping system and method
    • 空间变化的亮度压缩色域映射系统和方法
    • US20050128496A1
    • 2005-06-16
    • US10733608
    • 2003-12-11
    • Raja Bala
    • Raja Bala
    • G06T1/00G03F3/08G06F15/00H04N1/46H04N1/60
    • H04N1/6027H04N1/6072
    • A system and method for gamut mapping includes a luminance compression algorithm for gamut mapping that varies across different parts of the image. In shadow regions, a soft compression function is applied to bring out the detail. In other regions, including areas with high local contrast, a hard clipping function is applied to preserve local contrast. The algorithm adaptively blends between these two functions to ensure that the overall compression function is spatially smooth. The system and method may also use chrominance information to compute “perceived lightness”, to be used as input to the low-pass filter. Also, the blending function α( ) could be a function of chrominance as well as luminance.
    • 用于色域映射的系统和方法包括在图像的不同部分上变化的色域映射的亮度压缩算法。 在阴影区域,应用软压缩功能来显示细节。 在其他区域,包括局部对比度较高的区域,应用硬切割功能来保持局部对比度。 该算法自适应地融合了这两个功能,以确保整体压缩功能在空间上平滑。 该系统和方法还可以使用色度信息来计算“感知亮度”,以用作低通滤波器的输入。 此外,混合函数alpha()可以是色度以及亮度的函数。
    • 116. 发明申请
    • Method for determining color space of an image
    • 用于确定图像的颜色空间的方法
    • US20050128218A1
    • 2005-06-16
    • US10733583
    • 2003-12-11
    • Raja Bala
    • Raja Bala
    • H04N1/60G09G5/02H04N1/46
    • H04N1/60
    • A method for determining whether an input image is defined in accordance with a luminance-chrominance color space, includes receiving an input image in three dimensional color space, S1, S2 and S3, where S1 is an image value in the first dimension, S2 is an image value in the second dimension and S3 is an image value in the third dimension; extracting low and high extrema of S1 values in the image; obtaining deviation of S2 and S3 from a predefined neutral axis for all pixels in the image whose S1 value is either the low or the high extremum; testing a condition that certain of the deviations are within predetermined thresholds; and determining, if the condition holds true, that the image is in a luminance-chrominance color space.
    • 一种用于确定输入图像是否根据亮度色度色空间来定义的方法包括:在三维色彩空间S 1,S 2和S 3中接收输入图像,其中S 1是第一像素中的图像值 尺寸,S 2是第二维中的图像值,S 3是第三维中的图像值; 提取图像中S 1值的低和高极值; 对于S 1值为低或高极值的图像中的所有像素,获得S 2和S 3与预定中性轴的偏差; 测试某些偏差在预定阈值内的条件; 以及如果所述条件成立,则确定所述图像在亮度 - 色度色彩空间中。
    • 117. 发明申请
    • System and method for selecting the best set of devices for rendering color documents
    • US20050036171A1
    • 2005-02-17
    • US10641205
    • 2003-08-14
    • Raja BalaGaurav SharmaRobert Rolleston
    • Raja BalaGaurav SharmaRobert Rolleston
    • H04N1/50H04N1/56H04N1/60
    • H04N1/603H04N1/6058
    • The system for selecting a best device for rendering a color document involves first determining the types of color data included in the color document to be printed. Once the type of color data has been determined, the color characteristics are matched against the strengths of the available output devices to obtain a list of devices best suited for this particular color print job. At least one device from the list of best devices is selected and the color document is rendered onto the selected device. Preferably, the types of color data involved are determined by the mix of defined colorimetry and undefined colorimetry in the color document. Alternatively, the types of color data are determined by analyzing the colorspaces in the document (i.e., RGB, CMYK, LAB, XYZ, etc.), and the embedded profiles, if any, in the document (e.g., sRGB, SWOPCMYK, Euroscale). In the instance wherein a number of devices match the criteria for selection, only those devices which honor embedded color profiles are selected for documents containing embedded profiles. Alternatively, only those devices are selected that produce a consistent rendering across multiple color spaces and profiles for documents with a mix of color spaces and profiles. Selecting the best device may also depend on whether the type of print job is considered to be Job-Balancing or Job-Splitting. With Job-Balancing, at least one of the metrics is used: (i) Intersection Gamut Volume, (ii) Gamut Similarity, or (iii) Mismatch Between Document Colors and Intersection Gamut for device selection. With Job-Splitting, at least one of these metrics are used: (i) Individual Gamut Volume, or (ii) Mismatch Between Document Colors and Device Gamut. Colorimetric definition of the selected colors can be retrieved from either an embedded source profile or by default and mapping the colors to the output gamut.