Lens Shading Modulation
    22.
    发明申请
    Lens Shading Modulation 有权
    镜头遮光调制

    公开(公告)号:US20150070537A1

    公开(公告)日:2015-03-12

    申请号:US14269941

    申请日:2014-05-05

    Applicant: Apple Inc.

    CPC classification number: H04N9/735 H04N1/60 H04N1/6086 H04N5/2353 H04N5/3572

    Abstract: This disclosure pertains to systems, methods, and computer readable media for performing lens shading correction (LSC) operations that modulate gains based on scene lux level and lens focus distance. These gains compensate for both color lens shading (i.e., the deviation between R, G, and B channels) and vignetting (i.e., the drop off in pixel intensity around the edges of an image). As scene illuminance increases, the sensor captures more signal from the actual scene, and the lens shading effects begin to appear. To deal with the situation, the lens shading gains are configured to adaptively ‘scale down’ when scene lux approaches zero and ‘scale up’ when scene lux changes from near zero to become larger. The lens shading gain may also be modulated based on the focus distance. For optical systems without zoom, the inventors have discovered that the amount of lens shading fall off changes as focus distance changes.

    Abstract translation: 本公开涉及用于执行基于场景勒克斯水平和透镜焦距的调制增益的透镜阴影校正(LSC)操作的系统,方法和计算机可读介质。 这些增益补偿了彩色透镜阴影(即,R,G和B通道之间的偏差)和渐晕(即,围绕图像边缘的像素强度的下降)。 随着场景照度的增加,传感器捕获来自实际场景的更多信号,并开始出现镜头遮光效果。 为了处理这种情况,当场景勒克斯接近零时,镜头遮蔽增益被配置为自适应地“缩小”,当场景勒克斯从近零变化到更大时,“镜像”增大。 透镜遮光增益也可以基于焦距进行调制。 对于没有变焦的光学系统,本发明人已经发现,随着焦距的变化,透镜遮蔽量的下降变化。

    Saliency of an Object for Image Processing Operations

    公开(公告)号:US20220237887A1

    公开(公告)日:2022-07-28

    申请号:US17659377

    申请日:2022-04-15

    Applicant: Apple Inc.

    Abstract: Various methods for utilizing a saliency heatmaps are described. The methods include obtaining image data corresponding to an image of a scene, obtaining a saliency heatmap for the image of the scene based on a saliency network, wherein the saliency heatmap indicates a likelihood of saliency for a corresponding portion of the scene, and manipulating the image data based on the saliency heatmap. In embodiments, the saliency heatmap may be produced using a trained machine learning model. The saliency heatmap may be used for various image processing tasks, such as determining which portion(s) of a scene to base an image capture device's autofocus, auto exposure, and/or white balance operations upon. According to some embodiments, one or more bounding boxes may be generated based on the saliency heatmap, e.g., using an optimization operation, which bounding box(es) may be used to assist or enhance the performance of various image processing tasks.

    Camera motion aware local tone mapping

    公开(公告)号:US11195247B1

    公开(公告)日:2021-12-07

    申请号:US16777074

    申请日:2020-01-30

    Applicant: Apple Inc.

    Abstract: An electronic image capture device captures a first image of a scene at a first time. A first local tone mapping operator for a first portion of the first image is determined. The electronic image capture device further captures a second image of the scene at a second time. A motion of the electronic device between the first time and the second time is determined. A second local tone mapping operator for a second portion of the second image is determined. The second portion is determined to correspond to the first portion based, at least in part, on the determined motion of the electronic device. The second local tone mapping operator is determined based, at least in part, on the first local tone mapping operator. At least the second local tone mapping operator is applied to the second portion of the second image.

    Lens Shading Modulation
    27.
    发明申请

    公开(公告)号:US20170289512A1

    公开(公告)日:2017-10-05

    申请号:US15626629

    申请日:2017-06-19

    Applicant: Apple Inc.

    CPC classification number: H04N9/735 H04N1/60 H04N1/6086 H04N5/2353 H04N5/3572

    Abstract: This disclosure pertains to systems, methods, and computer readable media for performing lens shading correction (LSC) operations that modulate gains based on scene lux level and lens focus distance. These gains compensate for both color lens shading (i.e., the deviation between R, G, and B channels) and vignetting (i.e., the drop off in pixel intensity around the edges of an image). As scene illuminance increases, the sensor captures more signal from the actual scene, and the lens shading effects begin to appear. To deal with the situation, the lens shading gains are configured to adaptively ‘scale down’ when scene lux approaches zero and ‘scale up’ when scene lux changes from near zero to become larger. The lens shading gain may also be modulated based on the focus distance. For optical systems without zoom, the inventors have discovered that the amount of lens shading fall off changes as focus distance changes.

    Lens shading modulation
    28.
    发明授权

    公开(公告)号:US09699428B2

    公开(公告)日:2017-07-04

    申请号:US14269941

    申请日:2014-05-05

    Applicant: Apple Inc.

    CPC classification number: H04N9/735 H04N1/60 H04N1/6086 H04N5/2353 H04N5/3572

    Abstract: This disclosure pertains to systems, methods, and computer readable media for performing lens shading correction (LSC) operations that modulate gains based on scene lux level and lens focus distance. These gains compensate for both color lens shading (i.e., the deviation between R, G, and B channels) and vignetting (i.e., the drop off in pixel intensity around the edges of an image). As scene illuminance increases, the sensor captures more signal from the actual scene, and the lens shading effects begin to appear. To deal with the situation, the lens shading gains are configured to adaptively ‘scale down’ when scene lux approaches zero and ‘scale up’ when scene lux changes from near zero to become larger. The lens shading gain may also be modulated based on the focus distance. For optical systems without zoom, the inventors have discovered that the amount of lens shading fall off changes as focus distance changes.

    Multi-scale tone mapping
    29.
    发明授权
    Multi-scale tone mapping 有权
    多尺度色调映射

    公开(公告)号:US09418311B2

    公开(公告)日:2016-08-16

    申请号:US14477679

    申请日:2014-09-04

    Applicant: Apple Inc.

    Abstract: Methods, devices and computer readable instructions to generate multi-scale tone curves are disclosed. One method includes finding, for a given input image, a global tone curve that exhibits monotonic behavior. The input image may then be partitioned into a first number of sub-regions. For each sub-region, a local tone curve may be determined that has an output level that is constrained to the global tone curve at one or more first luminance levels so that each sub-region's local tone curve's output follows the global tone curve's monotonic behavior. If the resulting local tone curves provide sufficient control of shadow-boost, highlight-suppression, and contrast optimization the first number of local tone curves may be applied directly to the input image. If additional control is needed, each sub-region may again be partitioned and local tone curves determined for each of the new sub-regions.

    Abstract translation: 公开了用于产生多尺度色调曲线的方法,装置和计算机可读指令。 一种方法包括为给定输入图像找到呈现单调行为的全局色调曲线。 然后可以将输入图像分割成第一数量的子区域。 对于每个子区域,可以确定本地色调曲线,其具有在一个或多个第一亮度水平下被限制到全局色调曲线的输出电平,使得每个子区域的局部色调曲线的输出遵循全局色调曲线的单调行为 。 如果所得到的本地色调曲线提供了阴影提升,高光抑制和对比度优化的足够控制,则可以将第一数量的局部色调曲线直接应用于输入图像。 如果需要附加控制,则每个子区域可以再次被划分,并且为每个新的子区域确定局部色调曲线。

    Region-of-Interest Biased Tone Mapping
    30.
    发明申请
    Region-of-Interest Biased Tone Mapping 有权
    感兴趣区域偏爱色调映射

    公开(公告)号:US20160232419A1

    公开(公告)日:2016-08-11

    申请号:US14614568

    申请日:2015-02-05

    Applicant: Apple Inc.

    CPC classification number: G06T5/007 G06T5/40 G06T2207/20016

    Abstract: Methods, devices and computer readable instructions to generate region-of-interest (ROI) tone curves are disclosed. One method includes obtaining a statistic for an entire image such as, for example, a luminance statistic. The same statistic may then be found for a specified ROI of the image. A weighted combination of the statistic of the entire image and the statistic of the ROI yields a combined statistic which may then be converted to a ROI-biased tone curve. The weight used to combine the two statistics may be selected to emphasize or de-emphasize the role of the ROI's statistic in the final tone curve.

    Abstract translation: 公开了用于生成感兴趣区(ROI)色调曲线的方法,装置和计算机可读指令。 一种方法包括获得整个图像的统计量,例如亮度统计量。 然后可以为图像的指定ROI找到相同的统计量。 整个图像的统计量和ROI的统计量的加权组合产生组合的统计量,然后可以将它们转换为ROI偏置的色调曲线。 可以选择用于组合两个统计量的权重来强调或不强调ROI的统计在最终色调曲线中的作用。

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