Systems and methods for determining noise statistics of image data
    11.
    发明授权
    Systems and methods for determining noise statistics of image data 有权
    用于确定图像数据噪声统计的系统和方法

    公开(公告)号:US08953882B2

    公开(公告)日:2015-02-10

    申请号:US13485299

    申请日:2012-05-31

    IPC分类号: G06K9/00 H04N5/217

    CPC分类号: G06T1/20 H04N17/002

    摘要: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may compute noise statistics associated with image data by receiving a frame of the image data having a plurality of pixels. The image processing pipeline may then identify a plurality of portions of the frame of the image data such that each portion of the plurality of portions has a flat surface. The image processing pipeline may then calculate a plurality of gradients for each portion of the plurality of portions, determine one or more dominant gradient orientations for each portion of the plurality of portions, and generate a histogram that represents a plurality of dominant gradient orientations that corresponds to the plurality of portions. After generating the histogram, the image processing pipeline may store the histogram, which may represent the noise statistics, in a memory.

    摘要翻译: 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通过接收具有多个像素的图像数据的帧来计算与图像数据相关联的噪声统计。 然后,图像处理流水线可以识别图像数据的帧的多个部分,使得多个部分的每个部分具有平坦表面。 然后,图像处理流水线可以为多个部分的每个部分计算多个梯度,为多个部分的每个部分确定一个或多个主要梯度取向,并且生成表示对应于多个部分的多个主要梯度取向的直方图 到多个部分。 在生成直方图之后,图像处理流水线可以将可以表示噪声统计的直方图存储在存储器中。

    SYSTEMS AND METHOD FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA
    12.
    发明申请
    SYSTEMS AND METHOD FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA 审中-公开
    用于减少图像数据中固定图案噪声的系统和方法

    公开(公告)号:US20130321671A1

    公开(公告)日:2013-12-05

    申请号:US13485101

    申请日:2012-05-31

    IPC分类号: H04N5/217

    CPC分类号: H04N5/365

    摘要: 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.

    摘要翻译: 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被配置为接收具有使用数字图像传感器获取的多个像素的图像数据的帧。 然后,图像处理流水线可以被配置为确定可修正多个像素中的每个像素以用于固定模式噪声的第一多个校正因子。 可以至少部分地基于对应于图像数据的帧的固定模式噪声统计来确定第一多个校正因子。 在确定了第一多个校正因子之后,图像处理流水线可以被配置为将多个第一校正因子应用于多个像素,从而减少存在于多个像素中的固定模式噪声。

    Systems and method for reducing fixed pattern noise in image data

    公开(公告)号:US11089247B2

    公开(公告)日:2021-08-10

    申请号:US13485101

    申请日:2012-05-31

    IPC分类号: H04N5/217 H04N5/365

    摘要: 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.

    SYSTEMS AND METHODS FOR COLLECTING FIXED PATTERN NOISE STATISTICS OF IMAGE DATA
    14.
    发明申请
    SYSTEMS AND METHODS FOR COLLECTING FIXED PATTERN NOISE STATISTICS OF IMAGE DATA 有权
    用于收集图像数据的固定图形噪声统计的系统和方法

    公开(公告)号:US20130321672A1

    公开(公告)日:2013-12-05

    申请号:US13485124

    申请日:2012-05-31

    IPC分类号: H04N5/228 H04N5/00

    CPC分类号: G06T5/005 H04N5/365

    摘要: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may collect statistics associated with fixed pattern noise of image data by receiving a first frame of the image data comprising a plurality of pixels. The image processing pipeline may then determine a sum of a first plurality of pixel values that correspond to at least a first portion of the plurality of pixels such that each pixel in at least the first portion of the plurality of pixels is disposed along a first axis within the frame of the image data. After determining the sum of the first plurality of pixel values, the image processing pipeline may store the sum of the first plurality of pixel values in a memory such that the sum of the first plurality of pixel values represent the statistics.

    摘要翻译: 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通过接收包括多个像素的图像数据的第一帧来收集与图像数据的固定模式噪声相关联的统计信息。 然后,图像处理流水线可以确定对应于多个像素的至少第一部分的第一多个像素值的和,使得至少第一部分中的每个像素沿着第一轴设置 在图像数据的帧内。 在确定第一多个像素值的和之后,图像处理流水线可以将第一多个像素值的和存储在存储器中,使得第一多个像素值的和代表统计。

    Systems and methods for collecting fixed pattern noise statistics of image data
    15.
    发明授权
    Systems and methods for collecting fixed pattern noise statistics of image data 有权
    用于收集图像数据固定模式噪声统计的系统和方法

    公开(公告)号:US08817120B2

    公开(公告)日:2014-08-26

    申请号:US13485124

    申请日:2012-05-31

    IPC分类号: H04N5/225

    CPC分类号: G06T5/005 H04N5/365

    摘要: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may collect statistics associated with fixed pattern noise of image data by receiving a first frame of the image data comprising a plurality of pixels. The image processing pipeline may then determine a sum of a first plurality of pixel values that correspond to at least a first portion of the plurality of pixels such that each pixel in at least the first portion of the plurality of pixels is disposed along a first axis within the frame of the image data. After determining the sum of the first plurality of pixel values, the image processing pipeline may store the sum of the first plurality of pixel values in a memory such that the sum of the first plurality of pixel values represent the statistics.

    摘要翻译: 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通过接收包括多个像素的图像数据的第一帧来收集与图像数据的固定模式噪声相关联的统计信息。 然后,图像处理流水线可以确定对应于多个像素的至少第一部分的第一多个像素值的和,使得至少第一部分中的每个像素沿着第一轴设置 在图像数据的帧内。 在确定第一多个像素值的和之后,图像处理流水线可以将第一多个像素值的和存储在存储器中,使得第一多个像素值的和代表统计。

    SYSTEMS AND METHODS FOR LENS SHADING CORRECTION
    16.
    发明申请
    SYSTEMS AND METHODS FOR LENS SHADING CORRECTION 有权
    镜头校正校正系统及方法

    公开(公告)号:US20130321678A1

    公开(公告)日:2013-12-05

    申请号:US13485235

    申请日:2012-05-31

    IPC分类号: H04N9/64 G06K9/00

    摘要: Systems and methods for correcting intensity drop-offs due to geometric properties of lenses are provided. In one example, a method includes receiving an input pixel of the image data, the image data acquired using an image sensor. A color component of the input pixel is determined. A gain grid is determined by pointing to the gain grid in external memory. Each of the plurality of grid points is associated with a lens shading gain selected based upon the color of the input pixel. A nearest set of grid points that enclose the input pixel is identified. Further, a lens shading gain is determined by interpolating the lens shading gains associated with each of the set of grid points and is applied to the input pixel.

    摘要翻译: 提供了由于透镜的几何特性来校正强度降低的系统和方法。 在一个示例中,一种方法包括接收图像数据的输入像素,使用图像传感器获取的图像数据。 确定输入像素的颜色分量。 通过指向外部存储器中的增益栅格来确定增益栅格。 多个网格点中的每一个都与基于输入像素的颜色选择的透镜阴影增益相关联。 识别包围输入像素的最近的一组网格点。 此外,通过内插与该组网格点中的每一个相关联的透镜遮蔽增益来确定透镜阴影增益,并将其应用于输入像素。

    Systems and Methods for Determining Noise Statistics of Image Data
    17.
    发明申请
    Systems and Methods for Determining Noise Statistics of Image Data 有权
    确定图像数据噪声统计的系统和方法

    公开(公告)号:US20130321673A1

    公开(公告)日:2013-12-05

    申请号:US13485299

    申请日:2012-05-31

    IPC分类号: H04N5/217

    CPC分类号: G06T1/20 H04N17/002

    摘要: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may compute noise statistics associated with image data by receiving a frame of the image data having a plurality of pixels. The image processing pipeline may then identify a plurality of portions of the frame of the image data such that each portion of the plurality of portions has a flat surface. The image processing pipeline may then calculate a plurality of gradients for each portion of the plurality of portions, determine one or more dominant gradient orientations for each portion of the plurality of portions, and generate a histogram that represents a plurality of dominant gradient orientations that corresponds to the plurality of portions. After generating the histogram, the image processing pipeline may store the histogram, which may represent the noise statistics, in a memory.

    摘要翻译: 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通过接收具有多个像素的图像数据的帧来计算与图像数据相关联的噪声统计。 然后,图像处理流水线可以识别图像数据的帧的多个部分,使得多个部分的每个部分具有平坦表面。 然后,图像处理流水线可以为多个部分的每个部分计算多个梯度,为多个部分的每个部分确定一个或多个主要梯度取向,并且生成表示对应于多个部分的多个主要梯度取向的直方图 到多个部分。 在生成直方图之后,图像处理流水线可以将可以表示噪声统计的直方图存储在存储器中。

    Systems and methods for luma sharpening
    19.
    发明授权
    Systems and methods for luma sharpening 有权
    亮度锐化的系统和方法

    公开(公告)号:US09031319B2

    公开(公告)日:2015-05-12

    申请号:US13485341

    申请日:2012-05-31

    IPC分类号: G06K9/00 G06T7/40 H04N5/213

    CPC分类号: G06T7/408 H04N5/213

    摘要: Systems, methods, and devices for sharpening image data are provided. One example of an image signal processing system includes a YCC processing pipeline that includes luma sharpening logic. The luma sharpening logic may sharpen the luma component while avoiding sharpening some noise. Specifically, a multi-scale unsharp mask filter may obtain unsharp signals by filtering an input luma component, and sharp component determination logic may determine sharp signals representing differences between the unsharp signals and the luma component. Sharp lookup tables may “core” the sharp signals, which may prevent some noise from being sharpened. Output logic may determine a sharpened output luma signal by combining the sharp signals with, for example, luma component or one of the unsharp signals.

    摘要翻译: 提供了用于锐化图像数据的系统,方法和设备。 图像信号处理系统的一个示例包括包括亮度锐化逻辑的YCC处理流水线。 亮度锐化逻辑可以锐化亮度分量,同时避免锐化某些噪声。 具体地说,多尺度钝化掩模滤波器可以通过对输入亮度分量进行滤波来获得钝化信号,并且尖锐分量确定逻辑可以确定表示不清晰信号和亮度分量之间差异的尖锐信号。 锐度查找表可能会“清除”尖锐的信号,这可能会阻止某些噪点的锐化。 输出逻辑可以通过将尖锐信号与例如亮度分量或钝化信号之一组合来确定锐化的输出亮度信号。

    Systems and Methods for Luma Sharpening
    20.
    发明申请
    Systems and Methods for Luma Sharpening 有权
    亮度磨削系统与方法

    公开(公告)号:US20130321700A1

    公开(公告)日:2013-12-05

    申请号:US13485341

    申请日:2012-05-31

    IPC分类号: H04N11/20

    CPC分类号: G06T7/408 H04N5/213

    摘要: Systems, methods, and devices for sharpening image data are provided. One example of an image signal processing system includes a YCC processing pipeline that includes luma sharpening logic. The luma sharpening logic may sharpen the luma component while avoiding sharpening some noise. Specifically, a multi-scale unsharp mask filter may obtain unsharp signals by filtering an input luma component, and sharp component determination logic may determine sharp signals representing differences between the unsharp signals and the luma component. Sharp lookup tables may “core” the sharp signals, which may prevent some noise from being sharpened. Output logic may determine a sharpened output luma signal by combining the sharp signals with, for example, luma component or one of the unsharp signals.

    摘要翻译: 提供了用于锐化图像数据的系统,方法和设备。 图像信号处理系统的一个示例包括包括亮度锐化逻辑的YCC处理流水线。 亮度锐化逻辑可以锐化亮度分量,同时避免锐化某些噪声。 具体地说,多尺度钝化掩模滤波器可以通过对输入亮度分量进行滤波来获得钝化信号,并且尖锐分量确定逻辑可以确定表示不清晰信号和亮度分量之间差异的尖锐信号。 锐度查找表可能会“清除”尖锐的信号,这可能会阻止某些噪点的锐化。 输出逻辑可以通过将尖锐信号与例如亮度分量或钝化信号之一组合来确定锐化的输出亮度信号。