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    • 1. 发明授权
    • Electronic and film theatrical quality
    • 电影和电影戏剧品质
    • US06909491B2
    • 2005-06-21
    • US10285921
    • 2002-11-01
    • Roger A. MortonGabriel FieldingMichelle A. MaurerChristopher L. Dumont
    • Roger A. MortonGabriel FieldingMichelle A. MaurerChristopher L. Dumont
    • G06T5/00H04N5/253G03B19/18G06T15/00
    • H04N5/253G06T5/002G06T5/003G06T5/20G06T5/50G06T2207/10016G06T2207/20182G06T2207/20192G06T2207/20204G06T2207/20216
    • A method is described for processing motion picture scene data through a process in which the scene data is initially acquired from a film or an electronic camera and ultimately projected onto a screen, wherein image losses potentially occur during distribution and projection stages of the process. The method includes the steps of: (a) representing the scene data in a non-linear space; and (b) compensating for the image losses associated with the distribution and projection stages at a point in the process before they occur by converting the scene data into an intermediate space representing the space in which the losses occur and filtering the scene data in the intermediate space to compensate the scene data for the losses. Additional steps provide additional benefits, including the steps of: (a) digitally scaling the digital scene data anamorphically to provide an image that makes full use of the available film space on the film; (b) recording multiple intermediate prints from the digital scene data and performing a single printing step to make each release print from an intermediate print; and (c) using motion compensated frame averaging to digitally remove noise.
    • 描述了一种用于通过其中首先从胶片或电子照相机获取场景数据并且最终投影到屏幕上的过程来处理运动图像场景数据的方法,其中在处理的分布和投影阶段可能会出现图像损失。 该方法包括以下步骤:(a)在非线性空间中表示场景数据; 和(b)通过将场景数据转换成表示损失发生的空间的中间空间并且对中间物体中的场景数据进行滤波来补偿在它们发生之前在过程中的点处与分布和投影阶段相关联的图像损失 空间补偿场景数据的损失。 附加步骤提供额外的好处,包括以下步骤:(a)以变形方式数字缩放数字场景数据,以提供充分利用电影上可用胶卷空间的图像; (b)从数字场景数据记录多个中间印刷品,并执行单个印刷步骤,以从中间印刷品制作每个印张; 和(c)使用运动补偿帧平均来数字地去除噪声。
    • 5. 发明授权
    • Method and system for video filtering with joint motion and noise estimation
    • 具有联合运动和噪声估计的视频滤波方法和系统
    • US07295616B2
    • 2007-11-13
    • US10715039
    • 2003-11-17
    • Zhaohui SunGabriel FieldingMajid Rabbani
    • Zhaohui SunGabriel FieldingMajid Rabbani
    • H04N7/12
    • H04N5/21G06T5/002G06T5/20G06T5/50G06T2207/10016G06T2207/20182
    • A method for video filtering of an input video sequence by utilizing joint motion and noise estimation includes the steps of: (a) generating a motion-compensated video sequence from the input video sequence and a plurality of estimated motion fields; (b) spatiotemporally filtering the motion compensated video sequence, thereby producing a filtered, motion-compensated video sequence; (c) estimating a standard deviation from the difference between the input video sequence and the filtered, motion-compensated video sequence, thereby producing an estimated standard deviation; (d) estimating a scale factor from the difference between the input video sequence and the motion compensated video sequence; and (e) iterating through steps (a) to (d) using the scale factor previously obtained from step (d) to generate the motion-compensated video sequence in step (a) and using the estimated standard deviation previously obtained from step (c) to perform the filtering in step (b) until the value of the noise level approaches the unknown noise of the input video sequence, whereby the noise level is then characterized by a finally determined scale factor and standard deviation.
    • 一种通过利用联合运动和噪声估计对输入视频序列进行视频滤波的方法包括以下步骤:(a)从输入视频序列和多个估计运动场产生运动补偿视频序列; (b)对所述运动补偿视频序列进行时空滤波,从而产生经滤波的运动补偿视频序列; (c)从输入视频序列和滤波的运动补偿视频序列之间的差估计标准偏差,从而产生估计的标准偏差; (d)从输入视频序列和运动补偿视频序列之间的差估计比例因子; 和(e)使用先前从步骤(d)获得的比例因子重复步骤(a)至(d),以在步骤(a)中生成运动补偿视频序列,并使用先前从步骤(c)获得的估计标准偏差 )以执行步骤(b)中的滤波,直到噪声电平的值接近输入视频序列的未知噪声,由此噪声电平然后由最终确定的比例因子和标准偏差来表征。
    • 8. 发明申请
    • Method and system for video filtering with joint motion and noise estimation
    • 具有联合运动和噪声估计的视频滤波方法和系统
    • US20050105627A1
    • 2005-05-19
    • US10715039
    • 2003-11-17
    • Zhaohui SunGabriel FieldingMajid Rabbani
    • Zhaohui SunGabriel FieldingMajid Rabbani
    • G06T5/00H04N5/21H04N7/12
    • H04N5/21G06T5/002G06T5/20G06T5/50G06T2207/10016G06T2207/20182
    • A method for video filtering of an input video sequence by utilizing joint motion and noise estimation comprises the steps of: (a) generating a motion-compensated video sequence from the input video sequence and a plurality of estimated motion fields; (b) spatiotemporally filtering the motion compensated video sequence, thereby producing a filtered, motion-compensated video sequence; (c) estimating a standard deviation from the difference between the input video sequence and the filtered, motion-compensated video sequence, thereby producing an estimated standard deviation; (d) estimating a scale factor from the difference between the input video sequence and the motion compensated video sequence; and (e) iterating through steps (a) to (d) using the scale factor previously obtained from step (d) to generate the motion-compensated video sequence in step (a) and using the estimated standard deviation previously obtained from step (c) to perform the filtering in step (b) until the value of the noise level approaches the unknown noise of the input video sequence, whereby the noise level is then characterized by a finally determined scale factor and standard deviation.
    • 一种通过利用联合运动和噪声估计对输入视频序列进行视频滤波的方法包括以下步骤:(a)从输入视频序列和多个估计的运动场产生运动补偿视频序列; (b)对所述运动补偿视频序列进行时空滤波,从而产生经滤波的运动补偿视频序列; (c)从输入视频序列和滤波的运动补偿视频序列之间的差估计标准偏差,从而产生估计的标准偏差; (d)从输入视频序列和运动补偿视频序列之间的差估计比例因子; 和(e)使用先前从步骤(d)获得的比例因子重复步骤(a)至(d),以在步骤(a)中生成运动补偿视频序列,并使用先前从步骤(c)获得的估计标准偏差 )以执行步骤(b)中的滤波,直到噪声电平的值接近输入视频序列的未知噪声,由此噪声电平然后由最终确定的比例因子和标准偏差来表征。
    • 10. 发明授权
    • System and method for estimating, synthesizing and matching noise in digital images and image sequences
    • 用于在数字图像和图像序列中估计,合成和匹配噪声的系统和方法
    • US07245783B2
    • 2007-07-17
    • US10602427
    • 2003-06-24
    • Gabriel Fielding
    • Gabriel Fielding
    • G06K9/40H04N5/00
    • G06T11/001G06T7/90G06T2207/10016G06T2207/10024
    • A method for synthesizing noise in a digital image comprises the steps of (a) estimating noise statistics based on a set of spatial autocorrelation coefficients and a set of spectral correlation coefficients that correspond to the color channels of the image, where at least one of the spatial autocorrelation coefficients is weighted by at least one of the spectral correlation coefficients, thereby providing a weighted set of autocorrelation coefficients, and where a set of filter coefficients is obtained from the weighted set of autocorrelation coefficients; and (b) synthesizing a synthetic texture by using the filter coefficients to filter a random noise field in each of the color channels, thereby producing output noise fields in each of the color channels that replicate a synthetic texture, e.g., a desired grain appearance, when combined into the digital image.
    • 一种用于在数字图像中合成噪声的方法包括以下步骤:(a)基于一组空间自相关系数和对应于图像的颜色通道的一组光谱相关系数来估计噪声统计,其中至少一个 通过至少一个频谱相关系数对空间自相关系数进行加权,从而提供自相关系数的加权集合,并且其中从加权的自相关系数集合获得一组滤波器系数; 以及(b)通过使用滤波器系数来合成合成纹理,以对每个颜色通道中的随机噪声场进行滤波,从而在复制合成纹理的每个颜色通道中产生输出噪声场,例如期望的纹理外观, 当组合成数字图像。