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    • 1. 发明申请
    • ORIENTATION-BASED APPROACH FOR FORMING A DEMOSAICED IMAGE, AND FOR COLOR CORRECTING AND ZOOMING THE DEMOSAICED IMAGE
    • 基于方向的方法,用于形成一个降解图像,并用于颜色校正和变焦图像
    • US20100253817A1
    • 2010-10-07
    • US12418207
    • 2009-04-03
    • Gazi AliMing-Chang LiuXimin Zhang
    • Gazi AliMing-Chang LiuXimin Zhang
    • H04N5/335G06K9/00
    • H04N9/045G06T3/4015H04N2209/045
    • A method and apparatus for forming a demosaiced image from a color-filter-array (“CFA”) image is provided. The CFA image comprises a first set of pixels colored according to a first (e.g., a green) color channel, a second set of pixels colored according to a second (e.g., a red) color channel and a third set of pixels colored according to a third (e.g., blue) color channel. The method may include obtaining an orientation map, which includes, for each pixel of the color-filter-array image, an indicator of orientation of an edge bounding such pixel. The method may further include interpolating the first color channel at the second and third sets of pixels as a function of the orientation map so as to form a fourth set of pixels. The method may also include interpolating the second color channel at the first and third sets of pixels as a function of the orientation map and the fourth set of pixels; and interpolating the third color channel at the first and second sets of pixels as a function of the orientation map and the fourth set of pixels.
    • 提供了一种用于从彩色滤光片阵列(“CFA”)图像形成去马赛克图像的方法和装置。 CFA图像包括根据第一(例如,绿色)颜色通道着色的第一组像素,根据第二(例如,红色)颜色通道着色的第二组像素,以及根据第 第三(例如蓝色)彩色通道。 该方法可以包括获得方位图,其包括对于彩色滤波器阵列图像的每个像素的边界边界的方向的指示符。 该方法可以进一步包括根据取向图来插值第二和第三组像素处的第一颜色通道,以便形成第四组像素。 该方法还可以包括根据取向图和第四组像素来内插第一和第三组像素处的第二颜色通道; 以及作为所述取向图和所述第四组像素的函数,在所述第一和第二像素组处插入所述第三颜色通道。
    • 2. 发明授权
    • Orientation-based approach for forming a demosaiced image, and for color correcting and zooming the demosaiced image
    • 用于形成去马赛克图像的基于方向的方法,以及用于颜色校正和缩放去马赛克图像的方法
    • US08189080B2
    • 2012-05-29
    • US12418207
    • 2009-04-03
    • Gazi AliMing-Chang LiuXimin Zhang
    • Gazi AliMing-Chang LiuXimin Zhang
    • H04N3/14G06K9/00
    • H04N9/045G06T3/4015H04N2209/045
    • A method and apparatus for forming a demosaiced image from a color-filter-array (“CFA”) image is provided. The CFA image comprises a first set of pixels colored according to a first (e.g., a green) color channel, a second set of pixels colored according to a second (e.g., a red) color channel and a third set of pixels colored according to a third (e.g., blue) color channel. The method may include obtaining an orientation map, which includes, for each pixel of the color-filter-array image, an indicator of orientation of an edge bounding such pixel. The method may further include interpolating the first color channel at the second and third sets of pixels as a function of the orientation map so as to form a fourth set of pixels. The method may also include interpolating the second color channel at the first and third sets of pixels as a function of the orientation map and the fourth set of pixels; and interpolating the third color channel at the first and second sets of pixels as a function of the orientation map and the fourth set of pixels.
    • 提供了一种用于从彩色滤光片阵列(“CFA”)图像形成去马赛克图像的方法和装置。 CFA图像包括根据第一(例如,绿色)颜色通道着色的第一组像素,根据第二(例如,红色)颜色通道着色的第二组像素,以及根据第 第三(例如蓝色)彩色通道。 该方法可以包括获得方位图,其包括对于彩色滤波器阵列图像的每个像素的边界边界的方向的指示符。 该方法可以进一步包括根据取向图来插值第二和第三组像素处的第一颜色通道,以便形成第四组像素。 该方法还可以包括根据取向图和第四组像素来内插第一和第三组像素处的第二颜色通道; 以及作为所述取向图和所述第四组像素的函数,在所述第一和第二像素组处插入所述第三颜色通道。
    • 5. 发明申请
    • Block based codec friendly edge detection and transform selection
    • 基于块的编解码器友好边缘检测和变换选择
    • US20090262800A1
    • 2009-10-22
    • US12148582
    • 2008-04-18
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • H04N7/30
    • H04N19/122H04N19/14H04N19/176H04N19/196H04N19/61
    • Low complexity edge detection and DCT type selection method to improve the visual quality of H.264/AVC encoded video sequence is described. Encoding-generated information is reused to detect an edge macroblock. Variance and Mean Absolute Difference (MAD) of one macroblock shows a certain relationship that is able to be used to differentiate the edge macroblock and the non-edge macroblock. Also, the variance difference of neighbor macroblocks provides a hint for edge existence. Then, a block-based edge detection method uses this information. To determine the DCT type for each block, the detected edges are differentiated as visual obvious edge, texture-like edge, soft edge and strong edge. 8×8 DCT is used for texture-like edges and the 4×4 DCT is used for all the other edges. The result is an efficient and accurate edge detection and transform selection method.
    • 描述了低复杂度边缘检测和DCT类型选择方法,以提高H.264 / AVC编码视频序列的视觉质量。 编码生成的信息被重新用于检测边缘宏块。 一个宏块的方差和平均绝对差(MAD)表示能够用于区分边缘宏块和非边缘宏块的一定关系。 此外,相邻宏块的方差差异提供了边缘存在的提示。 然后,基于块的边缘检测方法使用该信息。 为了确定每个块的DCT类型,检测到的边缘被区分为视觉明显的边缘,纹理样边缘,软边缘和强边。 8x8 DCT用于纹理样边缘,4x4 DCT用于所有其他边。 结果是一种高效准确的边缘检测和变换选择方法。
    • 6. 发明申请
    • CODING TOOL SELECTION IN VIDEO CODING BASED ON HUMAN VISUAL TOLERANCE
    • 基于人类视觉容忍度的视频编码中的编码工具选择
    • US20090074058A1
    • 2009-03-19
    • US11855888
    • 2007-09-14
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • H04N7/12
    • H04N19/19H04N19/103H04N19/12H04N19/154H04N19/172
    • In one embodiment, a coding mode selection method is provided to improve the visual quality of an encoded video sequence. The coding mode is selected based on a human visual tolerance level. Picture data may be received for a video coding process. The picture data is then analyzed to determine human visual tolerance adjustment information. For example, parameters of a cost equation may be adjusted based on the human visual tolerance level, which may be a tolerance that is based on a distortion bound that the human visual system can tolerate. The picture data may be analyzed in places that are considered visually sensitive areas, such as trailing suspicious areas, stripping suspicious areas, picture boundary areas, and/or blocking suspicious areas. Depending on what kind of visually sensitive area is found in the picture data, a parameter in a cost equation may be adjusted based on different visual tolerance thresholds. The coding mode is then determined based on the cost.
    • 在一个实施例中,提供编码模式选择方法以提高编码视频序列的视觉质量。 基于人的视觉容忍度来选择编码模式。 可以接收用于视频编码处理的图像数据。 然后分析图像数据以确定人类视觉容差调整信息。 例如,成本方程的参数可以基于人的视觉容忍度来调整,其可以是基于人类视觉系统可以容忍的失真约束的公差。 可以在被认为是视觉敏感区域的地方分析图像数据,例如可疑区域,剥离可疑区域,图像边界区域和/或阻止可疑区域。 根据在图像数据中找到什么样的视觉敏感区域,可以基于不同的视觉容差阈值来调整成本方程中的参数。 然后根据成本确定编码模式。
    • 9. 发明授权
    • Region description and modeling for image subscene recognition
    • 图像二次识别的区域描述和建模
    • US08705866B2
    • 2014-04-22
    • US12962647
    • 2010-12-07
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • G06K9/46G06K9/62G06K9/00G06K9/48
    • G06K9/4652G06K9/00684G06K9/6221
    • A method and apparatus is described here that categorizes images by extracting regions and describing the regions with a 16-dimensional subscene feature vector, which is a concatenation of color, texture, and spatial feature vectors. By comparing the spatial feature vectors in images with similarly-obtained feature vectors in a Gaussian mixture based model pool (obtained in a subscene modeling phase), the images may be categorized (in a subscene recognition phase) with probabilities relating to each region or subscene. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting.
    • 这里描述了一种方法和装置,其通过提取区域并且用具有颜色,纹理和空间特征向量的级联的16维子像素特征向量来描述区域来对图像进行分类。 通过将图像中的空间特征向量与基于高斯混合的模型池(在亚型建模阶段中获得)中的类似获得的特征向量进行比较,可以将图像分类(在子序列识别阶段),其具有与每个区域或子网相关的概率 。 更高的概率是可能的相关性。 该设备可以是用于表征许多图像的单个或多个核心CPU或并行化矢量处理器。 图像可以是照片,视频或视频静止图像,没有限制。 当实时使用时,该方法可用于视觉搜索或排序。