Scene motion correction in fused image systems

    公开(公告)号:US10277820B2

    公开(公告)日:2019-04-30

    申请号:US16030632

    申请日:2018-07-09

    Applicant: Apple Inc.

    Abstract: Techniques to capture and fuse short- and long-exposure images of a scene from a stabilized image capture device are disclosed. More particularly, the disclosed techniques use not only individual pixel differences between co-captured short- and long-exposure images, but also the spatial structure of occluded regions in the long-exposure images (e.g., areas of the long-exposure image(s) exhibiting blur due to scene object motion). A novel device used to represent this feature of the long-exposure image is a “spatial difference map.” Spatial difference maps may be used to identify pixels in the short-and long-exposure images for fusion and, in one embodiment, may be used to identify pixels from the short-exposure image(s) to filter post-fusion so as to reduce visual discontinuities in the output image.

    Pixel binning in an image sensor
    4.
    发明授权

    公开(公告)号:US09686485B2

    公开(公告)日:2017-06-20

    申请号:US14292599

    申请日:2014-05-30

    Applicant: Apple Inc.

    CPC classification number: H04N9/04511 H04N5/347 H04N5/37457 H04N9/045

    Abstract: Pixel binning is performed by summing charge from some pixels positioned diagonally in a pixel array. Pixel signals output from pixels positioned diagonally in the pixel array may be combined on the output lines. A signal representing summed charge produces a binned 2×1 cluster. A signal representing combined voltage signals produces a binned 2×1 cluster. A signal representing summed charge and a signal representing combined pixel signals can be combined digitally to produce a binned 2×2 pixel. Orthogonal binning may be performed on other pixels in the pixel array by summing charge on respective common sense regions and then then combining the voltage signals that represent the summed charge on respective output lines.

    Advanced Multi-Band Noise Reduction
    6.
    发明申请
    Advanced Multi-Band Noise Reduction 有权
    高级多频带降噪

    公开(公告)号:US20170070718A1

    公开(公告)日:2017-03-09

    申请号:US14872098

    申请日:2015-09-30

    Applicant: Apple Inc.

    Abstract: Techniques for de-noising a digital image using a multi-band noise filter and a unique combination of texture and chroma metrics are described. A novel texture metric may be used during multi-band filter operations on an image's luma channel to determine if a given pixel is associated with a textured/smooth region of the image. A novel chroma metric may be used during the the same multi-band filter operation to determine if the same pixel is associated with a blue/not-blue region of the image. Pixels identified as being associated with a smooth blue region may be aggressively de-noised and conservatively sharpened. Pixels identified as being associated with a textured blue region may be conservatively de-noised and aggressively sharpened. By coupling texture and chroma constraints it has been shown possible to mitigate noise in an image's smooth blue regions without affecting the edges/texture in other blue objects.

    Abstract translation: 描述了使用多频带噪声滤波器去噪数字图像和纹理和色度度量的唯一组合的技术。 在图像的亮度信道的多频带滤波操作期间可以使用新的纹理度量,以确定给定像素是否与图像的纹理/平滑区域相关联。 在相同的多频带滤波器操作期间可以使用新的色度度量以确定相同的像素是否与图像的蓝色/非蓝色区域相关联。 被识别为与平滑蓝色区域相关联的像素可能被积极地去噪和保守地削尖。 识别为与纹理蓝色区域相关联的像素可以被保守地去噪和积极地削尖。 通过耦合纹理和色度约束,已经显示可以减轻图像平滑蓝色区域中的噪声,而不会影响其他蓝色对象中的边缘/纹理。

    Scene motion correction in fused image systems

    公开(公告)号:US10432861B2

    公开(公告)日:2019-10-01

    申请号:US16362253

    申请日:2019-03-22

    Applicant: Apple Inc.

    Abstract: Techniques to capture and fuse short- and long-exposure images of a scene from a stabilized image capture device are disclosed. More particularly, the disclosed techniques use not only individual pixel differences between co-captured short- and long-exposure images, but also the spatial structure of occluded regions in the long-exposure images (e.g., areas of the long-exposure image(s) exhibiting blur due to scene object motion). A novel device used to represent this feature of the long-exposure image is a “spatial difference map.” Spatial difference maps may be used to identify pixels in the short- and long-exposure images for fusion and, in one embodiment, may be used to identify pixels from the short-exposure image(s) to filter post-fusion so as to reduce visual discontinuities in the output image.

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