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    Automatic white balance based on dynamic mapping
    3.
    发明授权
    Automatic white balance based on dynamic mapping 有权
    基于动态映射的自动白平衡

    公开(公告)号：US08854709B1

    公开(公告)日：2014-10-07

    申请号：US13890106

    申请日：2013-05-08

    Applicant: OmniVision Technologies, Inc.

    Inventor： Chengming Liu ,  Changmeng Liu ,  Jizhang Shan

    IPC: H04N1/46 ,  H04N9/73 ,  H04N1/407

    CPC classification number: H04N9/73 ,  H04N1/407 ,  H04N1/6077 ,  H04N9/735

    Abstract: A method of white balancing an image includes mapping pixels of the image to a color space diagram. Each of the pixels of the image include a red (“R”), a green (“G”), and a blue (“B”) subvalue. A first central tendency of each of the RGB subvalues of pixels mapped in a first pre-defined region of the color space diagram is determined and a second central tendency of each of the RGB subvalues of pixels mapped in a second pre-defined region of the color space diagram is determined. The first pre-defined region is associated with a first illuminating source and the second pre-defined region is associated with a second illuminating source. RGB values of a white pixel are generated based on the first and second central tendencies.

    Abstract translation: 白平衡图像的方法包括将图像的像素映射到颜色空间图。 图像的每个像素包括红色（“R”），绿色（“G”）和蓝色（“B”）子值。 确定映射在彩色空间图的第一预定义区域中的每个像素的RGB子值的第一集中趋势，并且映射到第二预定义区域中的每个像素的RGB子值的第二集中趋势 颜色空间图确定。 第一预定义区域与第一照明源相关联，并且第二预定义区域与第二照明源相关联。 基于第一和第二中心倾向生成白色像素的RGB值。

    Image demosaicer and method
    6.
    发明授权
    Image demosaicer and method 有权

    公开(公告)号：US10572974B2

    公开(公告)日：2020-02-25

    申请号：US15950845

    申请日：2018-04-11

    Applicant: OmniVision Technologies, Inc.

    Inventor： Sarvesh Swami ,  Yubo Duan ,  Chengming Liu

    IPC: G06T3/40 ,  G06T7/90 ,  G06T5/50

    Abstract: A method for demosaicing a raw image includes: (1) horizontally-interpolating a green channel formed of primary pixel-values Bg(x,y)g to yield a horizontally-interpolated green channel that includes both Bg(x,y)g and non-primary pixel-values Igh(x,y)r,b; (2) modifying each Igh(x,y)r,b, by horizontally-neighboring pixel-values, to yield a refined horizontally-interpolated green channel; (3) vertically-interpolating the green channel to yield a vertically-interpolated green channel that includes pixel-values Igv(x,y)r,b; (4) modifying each Igv(x,y)r,b by vertically-neighboring pixel-values, to yield a refined vertically-interpolated green channel; (5) generating a full-resolution green channel from the refined interpolated green channels and gradients thereof; (6) generating a full-resolution red channel by determining red pixel-values from a local-red mean value of neighboring pixel-values and the full-resolution green channel; (7) generating a full-resolution blue channel by determining pixel-values from a local-blue mean value of neighboring pixel-values and the full-resolution green channel; and (8) combining the full-resolution channels to yield a demosaiced raw image.

    Automatic white balance methods and systems for electronic cameras
    7.
    发明授权
    Automatic white balance methods and systems for electronic cameras 有权
    自动白平衡方法和电子照相机系统

    公开(公告)号：US09307214B1

    公开(公告)日：2016-04-05

    申请号：US14577242

    申请日：2014-12-19

    Applicant: OmniVision Technologies, Inc.

    Inventor： Changmeng Liu ,  Chengming Liu ,  Jizhang Shan

    IPC: H04N9/73 ,  G06K9/46 ,  G06T7/40

    CPC classification number: H04N9/735 ,  G06K9/4652

    Abstract: A brightness-sensitive automatic white balance method includes (a) determining the brightness of a scene captured in an electronic color image, (b) selecting a color-weighting map based upon the brightness of the scene, (c) extracting auto white balance parameters from the color-weighting map, and (d) white balancing the electronic color image according to the auto white balance parameters. An adaptive automatic white balance method includes (a) refining, based upon a first electronic color image of a scene illuminated by an illuminant of a first spectral type, a color-weighting probability distribution for the illuminant of the first spectral type, wherein the color-weighting probability distribution may be brightness-specific, (b) extracting auto white balance parameters from the refined color-weighting probability distribution, and (c) white balancing, according to the auto white balance parameters, an electronic color image of a scene illuminated by the illuminant of the first spectral type.

    Abstract translation: 亮度自动白平衡方法包括：（a）确定在电子彩色图像中拍摄的场景的亮度，（b）基于场景的亮度选择颜色加权图，（c）提取自动白平衡参数 （d）根据自动白平衡参数对电子彩色图像进行白平衡。 自适应自动白平衡方法包括：（a）基于由第一光谱类型的光源照射的场景的第一电子彩色图像来精炼用于第一光谱类型的光源的颜色加权概率分布，其中颜色 - 加权概率分布可以是亮度特定的，（b）从精确的颜色加权概率分布中提取自动白平衡参数，以及（c）根据自动白平衡参数的白平衡照明的场景的电子彩色图像 由第一光谱类型的光源。

    High dynamic range image sensor having reduced crosstalk and jaggy
    8.
    发明授权
    High dynamic range image sensor having reduced crosstalk and jaggy 有权

    公开(公告)号：US11742365B2

    公开(公告)日：2023-08-29

    申请号：US17373080

    申请日：2021-07-12

    Applicant: OmniVision Technologies, Inc.

    Inventor： Takeo Azuma ,  Chengming Liu

    IPC: H01L27/146 ,  H04N23/84 ,  H04N25/11 ,  H04N25/585

    CPC classification number: H01L27/14607 ,  H01L27/14645 ,  H04N23/843 ,  H04N25/11 ,  H04N25/585

    Abstract: An image sensor has a plurality of pixels arranged in a row direction and in a column direction. Each pixel comprises a color filter that has a portion with a low transmissivity and a portion with a high transmissivity, and a photoelectric conversion element that includes a first photoelectric conversion cell which receives light transmitting through the portion with the low transmissivity of the color filter, and a second photoelectric conversion cell which receives light transmitting through the portion with the high transmissivity of the color filter. The plurality of pixels are arranged such that positions of the portions with the low transmissivity for pixels of one color are identical among the plurality of pixels, and the portions with the low transmissivity are positioned adjacent to each other between adjacent pixels of different colors in the row direction only.

    High-dynamic range image sensor and image-capture method
    9.
    发明授权
    High-dynamic range image sensor and image-capture method 有权

    公开(公告)号：US11102422B2

    公开(公告)日：2021-08-24

    申请号：US16431887

    申请日：2019-06-05

    Applicant: OmniVision Technologies, Inc.

    Inventor： Chengming Liu ,  Tiejun Dai ,  Richard Mann

    IPC: H04N5/235 ,  H04N5/3745 ,  H04N5/355

    Abstract: A method for capturing a high-dynamic-range image includes: (i) storing a plurality of pixel values representing a first image captured by an image sensor that includes a pixel array, each pixel value having been generated by a respective pixel of a pixel subarray of the pixel array, each pixel being set to one of N1 first exposure values, N1≥1; (ii) determining an exposure-count N2 based on the plurality of pixel values; (iii) setting each pixel to one of a second plurality of exposure values, N2 in number, such that, for each of the second plurality of exposure values, at least one pixel is set to that exposure value, one of the second plurality of exposure values differing from each of the N1 first exposure values by more than a threshold value; and after setting (iv), capturing a second image with the image sensor.

    High-dynamic range image sensor and image-capture method
    10.
    发明授权
    High-dynamic range image sensor and image-capture method 有权

    公开(公告)号：US11064134B2

    公开(公告)日：2021-07-13

    申请号：US16558499

    申请日：2019-09-03

    Applicant: OmniVision Technologies, Inc.

    Inventor： Chengming Liu ,  Tiejun Dai ,  Richard Mann

    IPC: H04N5/235 ,  H04N9/04

    Abstract: An image sensor includes a pixel array, and a first, second, and an intermediate memory-element. The memory-elements store, respectively, a first, second, and an intermediate exposure value. The pixel array includes pixel-subarrays each including a rescue pixel and a first, second, and third plurality of contiguous pixels. Each of the first plurality of pixels is connected to the first memory-element and spans diagonally-opposite corners of the pixel-subarray. Each of the second plurality of pixels is connected to the second memory-element and located on a first side of the first plurality of pixels. Each of the third plurality of pixels is connected to the second memory-element and located on a second side of the first plurality of pixels. The rescue-pixel is connected to the intermediate memory-element and is (i) located on one of the first side and the second side and/or (ii) adjacent to one of the first plurality of pixels.

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