Regularized derivative operators for image processing system and method

    公开(公告)号:US11238573B2

    公开(公告)日:2022-02-01

    申请号:US16900653

    申请日:2020-06-12

    Applicant: Apple Inc.

    Abstract: Devices, methods, and non-transitory program storage devices are disclosed herein to provide improved image processing, the techniques comprising: obtaining an input image and target image data, and then calculating derivatives for the target image data using a regularized derivative kernel operator. In some embodiments, the regularized operator may comprise the following operator: [−1 (1+ε)], wherein ε may be a controllable system parameter and preferably is independent of the particular type of image processing being applied to the image. In some embodiments, the techniques may find look-up table (LUT) mappings or analytical functions to approximate the derivative structure of the target image data. Finally, the techniques disclosed herein may generate an output image from the input image based on attempting to closely approximate the calculated derivatives for the target image data. In preferred embodiments, by controlling the mapping, e.g., using regularization techniques, halos and other image artifacts may be ameliorated.

    Multispectral image decorrelation method and system

    公开(公告)号:US20200304732A1

    公开(公告)日:2020-09-24

    申请号:US16825633

    申请日:2020-03-20

    Applicant: Apple Inc.

    Abstract: A method of creating a multispectral decorrelation model for use in determining a visible image from a multispectral image captured using a multispectral image sensor, the method comprising the steps of: generating, using a plurality of quantum efficiency curves for the multispectral image sensor and a plurality of synthetic light spectrum vectors, a grid of synthetic multispectral pixel values and a corresponding grid of synthetic visible pixel values, wherein each synthetic visible pixel value is substantially decorrelated from a non-visible component of a corresponding synthetic multispectral pixel value; and determining a multispectral decorrelation model using the grid of synthetic multispectral pixel values and the corresponding grid of synthetic visible pixel values, wherein the multispectral decorrelation model in use maps a multispectral pixel value of the multispectral image to a visible pixel value of the visible image.

    SYSTEMS AND METHODS FOR LOCAL TONE MAPPING
    5.
    发明申请
    SYSTEMS AND METHODS FOR LOCAL TONE MAPPING 有权
    用于局部色调映射的系统和方法

    公开(公告)号:US20150348246A1

    公开(公告)日:2015-12-03

    申请号:US14822316

    申请日:2015-08-10

    Applicant: APPLE INC.

    Abstract: Systems and methods for local tone mapping are provided. In one example, an electronic device includes an electronic display, an imaging device, and an image signal processor. The electronic display may display images of a first bit depth, and the imaging device may include an image sensor that obtains image data of a higher bit depth than the first bit depth. The image signal processor may process the image data, and may include local tone mapping logic that may apply a spatially varying local tone curve to a pixel of the image data to preserve local contrast when displayed on the display. The local tone mapping logic may smooth the local tone curve applied to the intensity difference between the pixel and another nearby pixel exceeds a threshold.

    Abstract translation: 提供了本地色调映射的系统和方法。 在一个示例中,电子设备包括电子显示器,成像设备和图像信号处理器。 电子显示器可以显示第一位深度的图像,并且成像装置可以包括获得比第一位深度更高的位深度的图像数据的图像传感器。 图像信号处理器可以处理图像数据,并且可以包括本地色调映射逻辑,其可以将空间上变化的本地色调曲线应用于图像数据的像素,以便在显示器上显示时保持局部对比度。 本地色调映射逻辑可以平滑应用于像素和另一附近像素之间的强度差超过阈值的局部色调曲线。

    Image Enhancement System and Method

    公开(公告)号:US20210374925A1

    公开(公告)日:2021-12-02

    申请号:US17321024

    申请日:2021-05-14

    Applicant: Apple Inc.

    Abstract: An image enhancement method and system is described. The method comprises receiving an input and target image pair, each of the input and target images including data representing pixel intensities; processing the data to determine a plurality of basis functions, each basis function being determined in dependence on content of the input image, determining a combination of the basis functions to modify the intensity of pixels of the input image to approximate the target image; and applying the plurality of basis functions to the input image to produce an approximation of the target image.

    Multispectral image decorrelation method and system

    公开(公告)号:US11622085B2

    公开(公告)日:2023-04-04

    申请号:US16825633

    申请日:2020-03-20

    Applicant: Apple Inc.

    Abstract: A method of creating a multispectral decorrelation model for use in determining a visible image from a multispectral image captured using a multispectral image sensor, the method comprising the steps of: generating, using a plurality of quantum efficiency curves for the multispectral image sensor and a plurality of synthetic light spectrum vectors, a grid of synthetic multispectral pixel values and a corresponding grid of synthetic visible pixel values, wherein each synthetic visible pixel value is substantially decorrelated from a non-visible component of a corresponding synthetic multispectral pixel value; and determining a multispectral decorrelation model using the grid of synthetic multispectral pixel values and the corresponding grid of synthetic visible pixel values, wherein the multispectral decorrelation model in use maps a multispectral pixel value of the multispectral image to a visible pixel value of the visible image.

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