WEIGHT ADJUSTMENT IN COLOR CORRECTION
    1.
    发明申请
    WEIGHT ADJUSTMENT IN COLOR CORRECTION 审中-公开
    重量调整颜色校正

    公开(公告)号:WO2007127876A2

    公开(公告)日:2007-11-08

    申请号:PCT/US2007067557

    申请日:2007-04-26

    CPC classification number: H04N9/67 H04N1/6086 H04N1/628

    Abstract: Automatic weight adjustment (AWA) to derive an optimal color correction matrix may address unbalanced color reproduction performance among different illuminations and/or unbalanced color reproduction performance for specific memory colors. AWA may emphasize particular colors and equalize color performance. AWA may be implemented in an automatic process with optional manual operation.

    Abstract translation: 导出最佳颜色校正矩阵的自动权重调整(AWA)可以解决特定存储器颜色的不同照明之间的不平衡色彩再现性能和/或不平衡色彩再现性能。 AWA可以强调特定的颜色并均衡色彩表现。 AWA可以在具有可选手动操作的自动过程中实现。

    SYSTEMS, METHODS, AND APPARATUS FOR EXPOSURE CONTROL
    3.
    发明申请
    SYSTEMS, METHODS, AND APPARATUS FOR EXPOSURE CONTROL 审中-公开
    用于接触控制的系统,方法和装置

    公开(公告)号:WO2007109632A2

    公开(公告)日:2007-09-27

    申请号:PCT/US2007/064332

    申请日:2007-03-19

    Abstract: Embodiments include methods of image processing in which pixels of an image are classified according to color. An exposure control operation is performed according to the pixel classifications. In one example, the pixels are classified according to a predetermined segmentation of a color space, based on predicted sensor responses. In another example, the pixels are classified according to a color selected from among at least two colors.

    Abstract translation: 实施例包括图像处理的方法,其中图像的像素根据颜色分类。 根据像素分类执行曝光控制操作。 在一个示例中,基于预测的传感器响应,根据颜色空间的预定分割来对像素进行分类。 在另一示例中,根据从至少两种颜色中选择的颜色对像素进行分类。

    SYSTEMS, METHODS, AND APPARATUS FOR IMAGE PROCESSING, FOR COLOR CLASSIFICATION, AND FOR SKIN COLOR DETECTION
    4.
    发明申请
    SYSTEMS, METHODS, AND APPARATUS FOR IMAGE PROCESSING, FOR COLOR CLASSIFICATION, AND FOR SKIN COLOR DETECTION 审中-公开
    用于图像处理,颜色分类和皮肤颜色检测的系统,方法和装置

    公开(公告)号:WO2007022413A2

    公开(公告)日:2007-02-22

    申请号:PCT/US2006/032303

    申请日:2006-08-18

    CPC classification number: G06T7/408 G06K9/4652 G06T7/90

    Abstract: Embodiments include a method of image processing including decomposing a reflectance spectrum for a test surface into a linear combination of reflectance spectra of a set of test targets. The coefficient vector calculated in this decomposition is used to predict a response of an imaging sensor to the test surface. A plurality of such predicted responses may be used for various applications involving color detection and/or classification, including human skin tone detection.

    Abstract translation: 实施例包括图像处理方法,包括将测试表面的反射光谱分解为一组测试对象的反射光谱的线性组合。 在该分解中计算的系数向量用于预测成像传感器对测试表面的响应。 多个这样的预测响应可以用于涉及颜色检测和/或分类的各种应用,包括人肤色检测。

    CHROMA SUPRESSION FEATURES
    5.
    发明申请
    CHROMA SUPRESSION FEATURES 审中-公开
    色谱特征

    公开(公告)号:WO2008036850A2

    公开(公告)日:2008-03-27

    申请号:PCT/US2007/079085

    申请日:2007-09-20

    CPC classification number: H04N9/646

    Abstract: Apparatus are provided including an image signal carrier, a luminance information evaluator, and a chrominance information modifier. The image signal carrier is encoded with an image signal including luminance information and chrominance information. The luminance information evaluator evaluates the luminance information in the image signal for a given region within the image to identify when the given region is one of substantially white and substantially dark. The chrominance information modifier is provided to modify the chrominance information corresponding to the given region when the given region is one of substantially white and substantially dark

    Abstract translation: 提供了包括图像信号载体,亮度信息评估器和色度信息修饰符的装置。 图像信号载体用包括亮度信息和色度信息的图像信号进行编码。 亮度信息评估器评估图像内的给定区域的图像信号中的亮度信息,以识别给定区域何时是基本上白色且基本上暗的一个。 提供色度信息修改器以在给定区域是基本上白色和基本上为黑色之一时修改对应于给定区域的色度信息

    VIDEO FRAME MOTION-BASED AUTOMATIC REGION-OF-INTEREST DETECTION
    7.
    发明申请
    VIDEO FRAME MOTION-BASED AUTOMATIC REGION-OF-INTEREST DETECTION 审中-公开
    基于视频帧动作的自动区域检测

    公开(公告)号:WO2007044672A3

    公开(公告)日:2007-08-23

    申请号:PCT/US2006039407

    申请日:2006-10-05

    CPC classification number: G06K9/00234 H04N19/17 H04N19/61

    Abstract: The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side- information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.

    Abstract translation: 本公开针对基于视频序列的视频帧内的低复杂度自动ROI检测的用于感兴趣区域(ROI)视频处理的技术。 低复杂度自动ROI检测可以基于视频通信设备内的视频传感器的特性。 在其他情况下,低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。 所公开的技术包括能够基于特定视频传感器的特性来调谐和增强视频通信设备内的视频传感器校准,相机处理,ROI检测和ROI视频处理的视频处理技术。 所公开的技术还包括基于传感器的ROI检测技术,其使用视频传感器统计和照相机处理侧面信息来提高ROI检测精度。 所公开的技术还包括使用在视频处理中的运动估计期间获得的运动信息的基于运动的ROI检测技术。

    VIDEO FRAME MOTION-BASED AUTOMATIC REGION-OF-INTEREST DETECTION
    8.
    发明申请
    VIDEO FRAME MOTION-BASED AUTOMATIC REGION-OF-INTEREST DETECTION 审中-公开
    基于视频帧运动的自动区域检测

    公开(公告)号:WO2007044672A2

    公开(公告)日:2007-04-19

    申请号:PCT/US2006/039407

    申请日:2006-10-05

    CPC classification number: G06K9/00234 H04N19/17 H04N19/61

    Abstract: The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side- information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.

    Abstract translation: 本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域(ROI)视频处理技术。 低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。 在其他情况下,低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。 所公开的技术包括基于特定视频传感器的特性,能够在视频通信设备内调整和增强视频传感器校准,相机处理,ROI检测和ROI视频处理的视频处理技术。 所公开的技术还包括基于传感器的ROI检测技术,其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。 所公开的技术还包括基于运动的ROI检测技术,其使用在视频处理中的运动估计期间获得的运动信息。

    PRINT IMAGE MATCHING PARAMETER EXTRACTION AND RENDERING ON DISPLAY DEVICES
    9.
    发明申请
    PRINT IMAGE MATCHING PARAMETER EXTRACTION AND RENDERING ON DISPLAY DEVICES 审中-公开
    打印图像匹配参数提取和渲染显示设备

    公开(公告)号:WO2008154550A1

    公开(公告)日:2008-12-18

    申请号:PCT/US2008/066451

    申请日:2008-06-10

    CPC classification number: H04N1/6027

    Abstract: Techniques are described for automatic print image matching (PIM) parameter extraction. An original image is captured and PIM parameter data is extracted automatically based on specifics of the original image. At least one automated PIM parameter is calculated automatically from the PIM parameter data. At least one automated PIM parameter is inserted in PIM header information for communication to a rendering device to modify the original image when rendered.

    Abstract translation: 描述了自动打印图像匹配(PIM)参数提取的技术。 捕获原始图像,并根据原始图像的细节自动提取PIM参数数据。 PIM参数数据自动计算至少一个自动PIM参数。 在PIM头信息中插入至少一个自动PIM参数,以便与渲染设备进行通信,以便在渲染时修改原始图像。

    HAND JITTER REDUCTION COMPENSATING FOR ROTATIONAL MOTION
    10.
    发明申请
    HAND JITTER REDUCTION COMPENSATING FOR ROTATIONAL MOTION 审中-公开
    用于旋转运动的手动减速补偿

    公开(公告)号:WO2007085007A3

    公开(公告)日:2008-03-06

    申请号:PCT/US2007060808

    申请日:2007-01-19

    CPC classification number: G06K9/4647 G06K9/40 G06T7/30 G06T7/70

    Abstract: The registration of images comprising segmenting an image in a frame into a set of sectors which forms a circle. Generating a plurality of sets of projections in a base frame, wherein each set of projections is generated from any sector amongst the set of sectors from the base frame. Also generating a plurality of sets of projections in a movement frame, wherein each set of projections is generated from any sector amongst the set of sectors from the movement frame. Then summing each set of projections, from any sector amongst the set of sectors from the base frame and summing each set of projections from any sector amongst the set of sectors from the movement frame. Furthermore, comparing a set of each sum of projections from the base frame with a set of each sum of projections from the movement frame, and generating a rotation angle estimate to add to the base frame.

    Abstract translation: 图像的注册,包括将帧中的图像分割成形成圆的一组扇区。 在基本帧中生成多组投影,其中每一组投影是从基本帧的一组扇区中的任何扇区生成的。 还在运动框架中产生多组投影,其中每组投影从来自运动框架的一组扇区中的任何扇区生成。 然后将来自基本帧的扇区集合中的任何扇区的每一组投影求和,并从运动帧中的扇区集合中的任何扇区的每一组投影求和。 此外,将来自基本帧的每个投影的总和与来自运动帧的每个投影的总和的集合进行比较,并且生成旋转角度估计以添加到基本帧。

Patent Agency Ranking