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    Scene-based non-uniformity correction method using local constant statistics
    43.
    发明授权
    Scene-based non-uniformity correction method using local constant statistics 失效
    基于场景的非均匀性校正方法使用局部常数统计

    公开(公告)号：US07782378B2

    公开(公告)日：2010-08-24

    申请号：US11869968

    申请日：2007-10-10

    申请人： Chao Zhang ,  Wenyi Zhao

    发明人： Chao Zhang ,  Wenyi Zhao

    IPC分类号： H04N5/217

    CPC分类号： G06T5/002

    摘要： A scene-based non-uniformity correction method employing local constant statistics for eliminating fixed pattern noise in a video comprising a plurality of images is disclosed, comprising the steps of providing an initial gain image, an initial offset image, a predetermined pyramid level, and a filter of a predetermined level; setting one of the plurality of input images to the current image; calculating a temporary true scene image for the current image based on the initial gain image and the initial offset image; accumulating a temporal mean image and a temporal standard deviation image based on the calculated temporary true scene image; setting another of the plurality of images to the current image and repeating the setting, calculating, and accumulating steps until substantially all of the images of the plurality of images have been processed, otherwise further perform the steps of calculating a Gaussian mean image based on the accumulated temporal mean and calculating a Gaussian gain image based on the accumulated temporal standard deviation image; spectrum shaping the Gaussian mean image and the Gaussian gain image based on the predetermined pyramid level and the filter of a predetermined level; multiplying the spectrum shaped Gaussian gain image by the initial gain image to obtain a final gain image; and multiplying the spectrum shaped Gaussian mean image by the initial gain image and add the initial offset image to obtain a final offset image.

    摘要翻译： 公开了一种使用局部常数统计量来消除包括多个图像的视频中的固定模式噪声的基于场景的非均匀性校正方法，包括以下步骤：提供初始增益图像，初始偏移图像，预定金字塔电平，以及 预定水平的过滤器; 将多个输入图像中的一个设置为当前图像; 基于初始增益图像和初始偏移图像计算当前图像的临时真实场景图像; 基于所计算的临时真实场景图像累积时间平均图像和时间标准偏差图像; 将多个图像中的另一个图像设置为当前图像，并重复设置，计算和累积步骤，直到已经处理了多个图像的基本上所有的图像，否则进一步执行基于该图像的高斯平均图像的计算步骤 累积时间均值，并基于积累的时间标准差图像计算高斯增益图像; 基于预定金字塔级别和预定级别的滤波器对高斯均值图像和高斯增益图像进行频谱整形; 将光谱高斯增益图像乘以初始增益图像以获得最终增益图像; 并将光谱高斯平均图像乘以初始增益图像，并加上初始偏移图像以获得最终的偏移图像。

    Storage switch traffic bandwidth control
    44.
    发明授权
    Storage switch traffic bandwidth control 有权
    存储交换机流量带宽控制

    公开(公告)号：US07773521B2

    公开(公告)日：2010-08-10

    申请号：US10836133

    申请日：2004-04-30

    申请人： Chao Zhang ,  Robert Tower Frey

    发明人： Chao Zhang ,  Robert Tower Frey

    IPC分类号： H04J1/16

    CPC分类号： H04L47/10 ,  H04L41/0896 ,  H04L41/5003 ,  H04L41/5009 ,  H04L41/5019 ,  H04L43/0894 ,  H04L43/16 ,  H04L47/11 ,  H04L47/20 ,  H04L47/29

    摘要： A switch including a processor and method for monitoring bandwidth in the storage switch. The switch includes at least one physical port coupling at least one target and at least one initiator via the physical port. The monitoring method may include the steps of determining whether congestion occurs on the physical port and assigning a weight to bandwidth usage between the initiator and the target based on a minimum and maximum bandwidth settings for each target. The switch may further include a step of controlling bandwidth usage by each of said at least two targets based on minimum and maximum bandwidth settings for each of the targets.

    摘要翻译： 一种交换机，包括用于监视存储交换机中的带宽的处理器和方法。 交换机包括经由物理端口耦合至少一个目标和至少一个启动器的至少一个物理端口。 监视方法可以包括以下步骤：基于每个目标的最小和最大带宽设置来确定在物理端口上是否发生拥塞并且为发起者和目标之间的带宽使用分配权重。 交换机还可以包括基于每个目标的最小和最大带宽设置来控制所述至少两个目标中的每一个的带宽使用的步骤。

    MULTI-SCALE MULTI-CAMERA ADAPTIVE FUSION WITH CONTRAST NORMALIZATION
    46.
    发明申请
    MULTI-SCALE MULTI-CAMERA ADAPTIVE FUSION WITH CONTRAST NORMALIZATION 有权
    多尺度多摄像机自适应融合与对比正态化

    公开(公告)号：US20090169102A1

    公开(公告)日：2009-07-02

    申请号：US12275781

    申请日：2008-11-21

    申请人： Chao Zhang ,  Peter Jeffrey Burt ,  Gooitzen Sieman van der Wal

    发明人： Chao Zhang ,  Peter Jeffrey Burt ,  Gooitzen Sieman van der Wal

    IPC分类号： G06K9/40 ,  G06K9/36

    CPC分类号： G06T5/007 ,  G06T3/4061 ,  G06T5/002 ,  G06T5/50 ,  G06T2200/28 ,  G06T2207/20221 ,  H04N5/3653

    摘要： A computer implemented method for fusing images taken by a plurality of cameras is disclosed, comprising the steps of: receiving a plurality of images of the same scene taken by the plurality of cameras; generating Laplacian pyramid images for each source image of the plurality of images; applying contrast normalization to the Laplacian pyramids images; performing pixel-level fusion on the Laplacian pyramid images based on a local salience measure that reduces aliasing artifacts to produce one salience-selected Laplacian pyramid image for each pyramid level; and combining the salience-selected Laplacian pyramid images into a fused image. Applying contrast normalization further comprises, for each Laplacian image at a given level: obtaining an energy image from the Laplacian image; determining a gain factor that is based on at least the energy image and a target contrast; and multiplying the Laplacian image by a gain factor to produce a normalized Laplacian image.

    摘要翻译： 公开了一种用于融合由多个摄像机拍摄的图像的计算机实现的方法，包括以下步骤：接收由所述多个照相机拍摄的相同场景的多个图像; 为所述多个图像的每个源图像生成拉普拉斯金字塔图像; 对拉普拉斯金字塔图像应用对比度归一化; 在拉普拉斯金字塔图像上执行像素级融合，基于局部显着度测量，可以减少混叠伪像，从而为每个金字塔级别产生一个突出显示的拉普拉斯金字塔图像; 并将突出显示的拉普拉斯金字塔图像组合成融合图像。 对于每个拉普拉斯图像，应用对比度归一化进一步包括：从拉普拉斯图像获得能量图像; 确定至少基于能量图像和目标对比度的增益因子; 并将拉普拉斯图像乘以增益因子以产生归一化拉普拉斯图像。

    SCENE-BASED NON-UNIFORMITY CORRECTION AND ENHANCEMENT METHOD USING SUPER-RESOLUTION
    50.
    发明申请
    SCENE-BASED NON-UNIFORMITY CORRECTION AND ENHANCEMENT METHOD USING SUPER-RESOLUTION 有权
    基于SCENE的非均匀性校正和使用超分辨率的增强方法

    公开(公告)号：US20080107346A1

    公开(公告)日：2008-05-08

    申请号：US11873151

    申请日：2007-10-16

    申请人： Chao Zhang ,  Wenyi Zhao

    发明人： Chao Zhang ,  Wenyi Zhao

    IPC分类号： G06K9/62

    CPC分类号： G06T3/4053 ,  G06T5/002 ,  G06T5/50 ,  G06T2207/10016 ,  H04N5/3656

    摘要： A scene based non-uniformity, correction method super-resolution for eliminating fixed pattern noise in a video having a plurality of input images is disclosed, comprising, the steps of warping, each of the plurality of images with respect to a reference image to obtain a warped set of images; performing one of averaging and deblurring on the warped set of images to obtain an initial estimate of a reference true scene flame; warping the initial estimate of the reference true scene frame with respect to each of the plurality of images to obtain a set of estimated true signal images; performing a least square fit algorithm to estimate a gain image and an offset image given the set of estimated true signal images; applying the estimated gain image and estimated offset image to the plurality of images to obtain a clean set of images; and applying a super-resolution algorithm to the clean set of images to obtain a higher resolution version of the reference true scene frame.

    摘要翻译： 公开了一种用于消除具有多个输入图像的视频中的固定图案噪声的基于场景的不均匀性校正方法超分辨率，包括以下步骤：对参考图像中的每个图像进行翘曲以获得 扭曲的一组图像; 对翘曲的图像进行平均和去模糊，以获得参考真实场景火焰的初始估计; 对相对于多个图像中的每一个的参考真实场景帧进行初始估计，以获得一组估计的真实信号图像; 执行最小二乘拟合算法来估计给定所述一组估计真实信号图像的增益图像和偏移图像; 将估计的增益图像和估计的偏移图像应用于多个图像以获得干净的图像集合; 并将超分辨率算法应用于干净的图像集合，以获得参考真实场景帧的更高分辨率版本。