Systems and methods for defective pixel correction with neighboring pixels
    11.
    发明授权
    Systems and methods for defective pixel correction with neighboring pixels 有权
    用相邻像素进行缺陷像素校正的系统和方法

    公开(公告)号:US09131196B2

    公开(公告)日:2015-09-08

    申请号:US13724574

    申请日:2012-12-21

    Applicant: Apple Inc.

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may detect and correct a defective pixel of image data acquired using an image sensor. The image processing pipeline may receive an input pixel of the image data acquired using the image sensor. The image processing pipeline may then identify a set of neighboring pixels having the same color component as the input pixel and remove two neighboring pixels from the set of neighboring pixels thereby generating a modified set of neighboring pixels. Here, the two neighboring pixels correspond to a maximum pixel value and a minimum pixel value of the set of neighboring pixels. The image processing pipeline may then determine a gradient for each neighboring pixel in the modified set of neighboring pixels and determine whether the input pixel includes a dynamic defect or a speckle based at least in part on the gradient for each neighboring pixel in the modified set of neighboring pixels.

    Abstract translation: 本公开通常涉及用于图像数据处理的系统和方法。 在某些实施例中,图像处理流水线可以检测和校正使用图像传感器获取的图像数据的缺陷像素。 图像处理流水线可以接收使用图像传感器获取的图像数据的输入像素。 然后,图像处理流水线可以识别具有与输入像素相同颜色分​​量的一组相邻像素,并从相邻像素组中移除两个相邻像素,从而生成修改后的相邻像素集合。 这里,两个相邻像素对应于该组相邻像素的最大像素值和最小像素值。 然后,图像处理流水线可以确定相邻像素的修改集合中的每个相邻像素的梯度,并且确定输入像素是否至少部分地基于修改的集合中的每个相邻像素的梯度的动态缺陷或散斑 相邻像素。

    Green non-uniformity correction
    12.
    发明授权
    Green non-uniformity correction 有权
    绿色不均匀校正

    公开(公告)号:US09113118B2

    公开(公告)日:2015-08-18

    申请号:US13889937

    申请日:2013-05-08

    Applicant: APPLE INC.

    CPC classification number: H04N9/73 H04N5/142 H04N9/045 H04N9/735 H04N2209/046

    Abstract: Systems and methods for correcting green channel non-uniformity (GNU) are provided. In one example, GNU may be corrected using energies between the two green channels (Gb and Gr) during green interpolation processes for red and green pixels. Accordingly, the processes may be efficiently employed through implementation using demosaic logic hardware. In addition, the green values may be corrected based on low-pass-filtered values of the green pixels (Gb and Gr). Additionally, green post-processing may provide some defective pixel correction on interpolated greens by correcting artifacts generated through enhancement algorithms.

    Abstract translation: 提供了校正绿色通道不均匀性(GNU)的系统和方法。 在一个示例中,可以在用于红色和绿色像素的绿色插值处理期间使用两个绿色通道(Gb和Gr)之间的能量来校正GNU。 因此,可以通过使用去马赛克逻辑硬件的实现来有效地采用该过程。 此外,绿色值可以基于绿色像素的低通滤波值(Gb和Gr)来校正。 此外,绿色后处理可以通过校正通过增强算法产生的伪影来对内插果实提供一些缺陷像素校正。

    Green Non-Uniformity Correction
    13.
    发明申请
    Green Non-Uniformity Correction 有权
    绿色不均匀校正

    公开(公告)号:US20130321676A1

    公开(公告)日:2013-12-05

    申请号:US13889937

    申请日:2013-05-08

    Applicant: APPLE INC.

    CPC classification number: H04N9/73 H04N5/142 H04N9/045 H04N9/735 H04N2209/046

    Abstract: Systems and methods for correcting green channel non-uniformity (GNU) are provided. In one example, GNU may be corrected using energies between the two green channels (Gb and Gr) during green interpolation processes for red and green pixels. Accordingly, the processes may be efficiently employed through implementation using demosaic logic hardware. In addition, the green values may be corrected based on low-pass-filtered values of the green pixels (Gb and Gr). Additionally, green post-processing may provide some defective pixel correction on interpolated greens by correcting artifacts generated through enhancement algorithms.

    Abstract translation: 提供了校正绿色通道不均匀性(GNU)的系统和方法。 在一个示例中,可以在用于红色和绿色像素的绿色插值处理期间使用两个绿色通道(Gb和Gr)之间的能量来校正GNU。 因此,可以通过使用去马赛克逻辑硬件的实现来有效地采用该过程。 此外,绿色值可以基于绿色像素的低通滤波值(Gb和Gr)来校正。 此外,绿色后处理可以通过校正通过增强算法产生的伪影来对内插果实提供一些缺陷像素校正。

    Front-end scaler circuit for processing demosaiced image data

    公开(公告)号:US12260511B2

    公开(公告)日:2025-03-25

    申请号:US17578195

    申请日:2022-01-18

    Applicant: Apple Inc.

    Abstract: Embodiments relate to a front-end scaler circuit configured to receive and process demosaiced image data in different modes depending on if the demosaiced image data was demosaiced from Bayer or Quad Bayer raw image data. The front-end scaler circuit shares memory with a demosaicing circuit, and is configured to perform different operations that use different amounts of the shared memory based on the original image format of the demosaiced image data being processed, to compensate for additional memory utilized by the demosaicing circuit when demosaicing certain types of image data. For example, when processing image data demosaiced from Quad Bayer image data, the front-end scaler circuit discards a portion of the chrominance component data for the received image data before performing chromatic suppression, compared to when processing image data demosaiced from Bayer image data.

    Systems and methods for reducing fixed pattern noise in image data

    公开(公告)号:US12177586B2

    公开(公告)日:2024-12-24

    申请号:US18330973

    申请日:2023-06-07

    Applicant: Apple Inc.

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

    Noise reduction circuit for dual-mode image fusion architecture

    公开(公告)号:US11816858B2

    公开(公告)日:2023-11-14

    申请号:US17173094

    申请日:2021-02-10

    Applicant: Apple Inc.

    Abstract: Embodiments relate to an image processing circuit comprising a noise reduction circuit configurable to perform bilateral filtering on demosaiced and resampled image data, or on raw image data, based on the operating mode of the image processing circuit. The noise reduction circuit filters received image data based upon directional taps, by selecting, for each pixel, a set of neighbor pixels, and comparing values of the set of neighbor pixels to determine whether the pixel lies on a directional edge. For raw images, the noise reduction circuit selects the set of neighbor pixels to include a plurality of pixels of the same color channel as the pixel, and one or more additional pixels of a different color channel, where color values for the one or more additional pixels are determined by interpolating color values of two or more adjacent pixels of the same color channel as the pixel.

    SYSTEMS AND METHODS FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA

    公开(公告)号:US20230336888A1

    公开(公告)日:2023-10-19

    申请号:US18330973

    申请日:2023-06-07

    Applicant: Apple Inc.

    CPC classification number: H04N25/67

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

    Circuit for combined down sampling and correction of image data

    公开(公告)号:US11763421B2

    公开(公告)日:2023-09-19

    申请号:US17143995

    申请日:2021-01-07

    Applicant: Apple Inc.

    CPC classification number: G06T3/4007 H04N23/88

    Abstract: A foveated down sampling and correction (FDS-C) circuit for combined down sampling and correction of chromatic aberrations in images. The FDS-C circuit performs down sampling and interpolation of pixel values of a first subset of pixels of a color in a raw image using down sampling scale factors and first interpolation coefficients to generate first corrected pixel values for pixels of the color in a first corrected version of the raw image. The FDS-C circuit further performs interpolation of pixel values of a second subset of the pixels in the first corrected version using second interpolation coefficients to generate second corrected pixel values for pixels of the color in a second corrected version of the raw image. Pixels in the first subset are arranged in a first direction, pixels in the second subset are arranged in a second direction, and the down sampling scale factors vary along the first direction.

    Lens shading correction for quadra image sensors

    公开(公告)号:US11617026B1

    公开(公告)日:2023-03-28

    申请号:US17592327

    申请日:2022-02-03

    Applicant: Apple Inc.

    Abstract: Embodiments relate to processing of pixels captured by a quadra image sensor. A quadra image sensor includes a plurality of pixel tiles, each having a plurality of pixels corresponding to the same color. A lens shading correction (LSC) circuit receives, for each of a plurality of colors, a set of gain tables. Each gain table corresponds to a different channel associated with the color. Each gain table includes a set of gain values, each associated with a location. The LSC circuit determines a pixel gain value for each pixel in a pixel tile and scales the pixels in the pixel tile based on the determined pixel gain values.

    SYSTEMS AND METHOD FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA

    公开(公告)号:US20220014697A1

    公开(公告)日:2022-01-13

    申请号:US17377308

    申请日:2021-07-15

    Applicant: Apple Inc.

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

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