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    • 102. 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。
    • 103. 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。
    • 104. 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。
    • 110. 发明授权
    • Systems and methods for image or video personalization with selectable effects
    • 用于具有可选择效果的图像或视频个性化的系统和方法
    • US09058757B2
    • 2015-06-16
    • US13584159
    • 2012-08-13
    • Raja BalaHengzhou DingMichael R. FurstReuven J. Sherwin
    • Raja BalaHengzhou DingMichael R. FurstReuven J. Sherwin
    • G09G5/00G06T11/60
    • G09G5/00G06T11/60G09G2340/0492G09G2340/10G09G2340/12G09G2340/125G09G2340/14
    • Embodiments relate to systems and methods for image or video personalization with selectable effects. Image data, which can include video sequences or digital still images, can be received in a graphical personalization tool to perform various image processing and related operations to insert personalized objects into the image data. In aspects, the personalized object(s) can be or include graphical inputs such as, for instance, textual information, graphical information, and/or other visual objects. The graphical personalization tool can automatically perform one or more processing stages in the image path, such as identifying key regions in a still image and/or key frames in a video sequence, in which personalized objects will be generated and inserted. Personalized objects can be extended to additional regions of a still image, can be animated across multiple still images, and/or can be extended to additional frames of a video sequence, all on an automated or user-assisted basis.
    • 实施例涉及用于具有可选择效果的图像或视频个性化的系统和方法。 可以在图形个性化工具中接收可以包括视频序列或数字静止图像的图像数据,以执行各种图像处理和相关操作,以将个性化对象插入到图像数据中。 在方面中,个性化对象可以是或包括图形输入,例如文本信息,图形信息和/或其他视觉对象。 图形个性化工具可以自动执行图像路径中的一个或多个处理阶段,例如识别静止图像中的关键区域和/或视频序列中的关键帧,其中将生成和插入个性化对象。 个性化对象可以扩展到静止图像的附加区域,可以在多个静止图像之间动画,和/或可以在自动或用户辅助的基础上扩展到视频序列的附加帧。