Caching digital image data
    1.
    发明授权
    Caching digital image data 失效
    缓存数字图像数据

    公开(公告)号:US07619628B2

    公开(公告)日:2009-11-17

    申请号:US11166751

    申请日:2005-06-24

    CPC classification number: G06T15/503 G06T1/60 G06T11/60

    Abstract: Methods and systems for processing digital image data utilizing vertically-oriented Effect graphs are provided. When processing digital image data utilizing Effect graphs, it is often necessary for certain Effects on the graph to render their outputs multiple times during a single rendering pass. To alleviate the exponential processing that such a scenario can cause, methods and systems for caching at least a portion of the digital image data being processed in image buffers associated with the output of one or more Effects in the Effect graph during processing are provided. Additionally provided are methods and systems for caching digital image data in image buffers associated with the output of one or more Effects across multiple processing passes of an Effect graph.

    Abstract translation: 提供了利用垂直取向效果图处理数字图像数据的方法和系统。 当使用效果图处理数字图像数据时,图形中的某些效果通常需要在单次渲染过程中多次渲染它们的输出。 为了缓解这种场景可能导致的指数处理,提供了用于在处理期间缓存与效果图中的一个或多个效果的输出相关联的图像缓冲器中处理的数字图像数据的至少一部分的方法和系统。 另外提供了用于在与效果图的多个处理遍的一个或多个效果的输出相关联的图像缓冲器中缓存数字图像数据的方法和系统。

    Translating layers into effect graphs in digital image processing
    2.
    发明授权
    Translating layers into effect graphs in digital image processing 失效
    在数字图像处理中将图层转换为效果图

    公开(公告)号:US07295208B2

    公开(公告)日:2007-11-13

    申请号:US11166021

    申请日:2005-06-24

    CPC classification number: G06T15/503 G06T1/60 G06T11/60

    Abstract: Methods and systems for processing, e.g., non-destructively processing, digital image data utilizing one or more Effect Layers are provided. Effect Layers combine Effects in useful ways that simplify the process of creating Effect graphs. Each Effect Layer contains a logical Effect sub-graph that includes a plurality of logical Effects, e.g., a main Effect, a blend Effect, and a mask Effect. In one embodiment, a method in accordance with an embodiment of the present invention includes receiving input regarding processing of digital image data, determining the impact that input will have on each logical Effect upon processing of digital image data, and creating a physical Effect sub-graph in accordance with the determined impact. The physical Effect sub-graph may closely resemble or appear nothing like the logical Effect sub-graph. Images may subsequently be rendered utilizing the physical Effect sub-graph.

    Abstract translation: 提供了用于处理,例如非破坏性处理利用一个或多个效果层的数字图像数据的方法和系统。 效果层结合效果,以简化创建效果图的过程的有用方式。 每个效果层包含包含多个逻辑效果(例如主效果,混合效果)和掩码效果的逻辑效果子图。 在一个实施例中,根据本发明的实施例的方法包括接收关于数字图像数据的处理的输入,确定在处理数字图像数据时输入将对每个逻辑效果的影响,以及创建物理效应子图像, 图根据确定的影响。 物理效应子图可能与逻辑效应子图非常相似或不显示。 随后可以使用物理效应子图渲染图像。

    Automatic organ localization
    3.
    发明授权
    Automatic organ localization 有权
    自动器官定位

    公开(公告)号:US08867802B2

    公开(公告)日:2014-10-21

    申请号:US13090108

    申请日:2011-04-19

    Abstract: Automatic organ localization is described. In an example, an organ in a medical image is localized using one or more trained regression trees. Each image element of the medical image is applied to the trained regression trees to compute probability distributions that relate to a distance from each image element to the organ. At least a subset of the probability distributions are selected and aggregated to calculate a localization estimate for the organ. In another example, the regression trees are trained using training images having a predefined organ location. At each node of the tree, test parameters are generated that determine which subsequent node each training image element is passed to. This is repeated until each image element reaches a leaf node of the tree. A probability distribution is generated and stored at each leaf node, based on the distance from the leaf node's image elements to the organ.

    Abstract translation: 描述自动器官定位。 在一个示例中,使用一个或多个经过训练的回归树将医学图像中的器官定位。 将医学图像的每个图像元素应用于经过训练的回归树,以计算与从每个图像元素到器官的距离相关的概率分布。 选择和聚合概率分布的至少一个子集以计算器官的定位估计。 在另一示例中,使用具有预定义的器官位置的训练图像来训练回归树。 在树的每个节点,生成测试参数,确定每个训练图像元素传递到哪个后续节点。 这是重复的,直到每个图像元素到达树的叶节点。 基于从叶节点的图像元素到器官的距离,在每个叶节点处生成并存储概率分布。

    RAW-QUALITY PROCESSING OF NON-RAW IMAGES
    4.
    发明申请
    RAW-QUALITY PROCESSING OF NON-RAW IMAGES 审中-公开
    非原始图像的原始质量处理

    公开(公告)号:US20090109491A1

    公开(公告)日:2009-04-30

    申请号:US11929752

    申请日:2007-10-30

    CPC classification number: G06T11/001 H04N1/60

    Abstract: Technologies, methods, and systems for generating and maintaining profile information with processed image data, and for enabling scene-referred high-fidelity adjustments to non-raw, processed image data.

    Abstract translation: 用于使用经处理的图像数据生成和维护简档信息的技术,方法和系统,以及用于对非原始处理的图像数据进行场景引用的高保真度调整。

    Automatic dust removal in digital images
    5.
    发明授权
    Automatic dust removal in digital images 有权
    数字图像中自动除尘

    公开(公告)号:US08351736B2

    公开(公告)日:2013-01-08

    申请号:US12476514

    申请日:2009-06-02

    CPC classification number: H04N5/3572 H04N5/367 H04N9/045

    Abstract: Methods and a processing device are provided for restoring pixels damaged by artifacts caused by dust, or other particles, entering a digital image capturing device. A user interface may be provided for a user to indicate an approximate location of an artifact appearing in a digital image. Dust attenuation may be estimated and an inverse transformation, based on the estimated dust attenuation, may be applied to damaged pixels in order to recover an estimate of the underlying digital image. One or many candidate source patch may be selected based on having smallest pixel distances, with respect to a target patch area. The damaged pixels included in the target patch area may be considered when calculating the pixel distance with respect to candidate source patches. RGB values of corresponding pixels of source patches may be used to restore the damaged pixels included in the target patch area.

    Abstract translation: 提供了方法和处理装置,用于恢复由于灰尘或其他颗粒引起的伪影所损坏的像素进入数字图像捕获装置。 可以为用户提供用户界面来指示出现在数字图像中的人造物的大致位置。 可以估计灰尘衰减,并且可以将基于估计的灰尘衰减的逆变换应用于损坏的像素,以便恢复底层数字图像的估计。 可以基于相对于目标贴片区域具有最小像素距离来选择一个或多个候选源贴片。 当计算相对于候选源贴片的像素距离时,可以考虑包括在目标贴片区域中的损伤像素。 可以使用源贴片的相应像素的RGB值来恢复包括在目标贴片区域中的损伤像素。

    Accumulating transforms through an effect graph in digital image processing
    6.
    发明授权
    Accumulating transforms through an effect graph in digital image processing 有权
    通过数字图像处理中的效果图进行累积变换

    公开(公告)号:US07519233B2

    公开(公告)日:2009-04-14

    申请号:US11166738

    申请日:2005-06-24

    CPC classification number: G06T11/206

    Abstract: Methods and systems for processing, e.g., non-destructively processing, digital image data utilizing vertically-oriented Effect graphs are provided. In non-destructive processing where and when data is transformed is fairly important, both in terms of quality and performance. The further down the vertically-oriented Effect graph a transformation occurs, the better. As such, methods for pushing transformations down an Effect graph to the lowest point possible and applying them at that point rather than the location at which they may have been placed are provided. Systems for implementing the methods herein disclosed are also provided.

    Abstract translation: 提供了用于处理(例如非破坏性处理)使用垂直取向效果图的数字图像数据的方法和系统。 在非破坏性处理中,何时和何时转换数据在质量和性能方面都是非常重要的。 进一步向下的垂直取向的效果图转变发生的越好。 因此,提供了将效果图下降到可能的最低点的方法,并将其应用于该点而不是它们可能被放置的位置。 还提供了用于实现本文公开的方法的系统。

    Hardware-accelerated color data processing
    7.
    发明授权
    Hardware-accelerated color data processing 有权
    硬件加速色彩数据处理

    公开(公告)号:US08493619B2

    公开(公告)日:2013-07-23

    申请号:US13208751

    申请日:2011-08-12

    CPC classification number: H04N1/603

    Abstract: Methods for mapping color data having at least one color associated therewith to an output device based on an input-device profile and an output-device profile, each profile having a tone curve and a color matrix, are provided. In one embodiment, the method includes receiving color data from an input device and determining whether the color data is in a linear space. If it is determined that the color data is not in a linear space, the method further includes applying the tone curve of the input device profile to the color data to convert it into a linear space. The method further includes converting the color(s) associated with the color data from the input linear space to an output linear space by applying the color matrix of the input device profile and the inverse color matrix of the output device profile to create color-converted image data.

    Abstract translation: 提供了基于输入设备配置文件和输出设备配置文件将具有与其相关联的至少一种颜色的颜色数据映射到输出设备的方法,每个配置文件具有色调曲线和颜色矩阵。 在一个实施例中,该方法包括从输入装置接收彩色数据并确定彩色数据是否处于线性空间。 如果确定颜色数据不在线性空间中,则该方法还包括将输入设备简档的色调曲线应用于颜色数据以将其转换为线性空间。 该方法还包括通过应用输出设备配置文件的颜色矩阵和输出设备配置文件的反色矩阵来将与输入线性空间的颜色数据相关联的颜色转换为输出线性空间,以创建颜色转换 图像数据。

    Automatic Dust Removal In Digital Images
    8.
    发明申请
    Automatic Dust Removal In Digital Images 有权
    数字图像中自动除尘

    公开(公告)号:US20100303380A1

    公开(公告)日:2010-12-02

    申请号:US12476514

    申请日:2009-06-02

    CPC classification number: H04N5/3572 H04N5/367 H04N9/045

    Abstract: Methods and a processing device are provided for restoring pixels damaged by artifacts caused by dust, or other particles, entering a digital image capturing device. A user interface may be provided for a user to indicate an approximate location of an artifact appearing in a digital image. Dust attenuation may be estimated and an inverse transformation, based on the estimated dust attenuation, may be applied to damaged pixels in order to recover an estimate of the underlying digital image. One or many candidate source patch may be selected based on having smallest pixel distances, with respect to a target patch area. The damaged pixels included in the target patch area may be considered when calculating the pixel distance with respect to candidate source patches. RGB values of corresponding pixels of source patches may be used to restore the damaged pixels included in the target patch area.

    Abstract translation: 提供了方法和处理装置,用于恢复由于灰尘或其他颗粒引起的伪影所损坏的像素进入数字图像捕获装置。 可以为用户提供用户界面来指示出现在数字图像中的人造物的大致位置。 可以估计灰尘衰减,并且可以将基于估计的灰尘衰减的逆变换应用于损坏的像素,以便恢复底层数字图像的估计。 可以基于相对于目标贴片区域具有最小像素距离来选择一个或多个候选源贴片。 当计算相对于候选源贴片的像素距离时,可以考虑包括在目标贴片区域中的损伤像素。 可以使用源贴片的相应像素的RGB值来恢复包括在目标贴片区域中的损伤像素。

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