Hybrid image registration techniques

    公开(公告)号:US11776141B1

    公开(公告)日:2023-10-03

    申请号:US17357401

    申请日:2021-06-24

    Applicant: Apple Inc.

    Abstract: Devices, methods, and non-transitory program storage devices (NPSDs) for an improved, so-called “hybrid” image registration process are disclosed herein, comprising: obtaining a first set of captured images, wherein the first set of captured images comprises a reference image and one or more bracketed images; and for each of the one or more bracketed images: performing a first (e.g., global) registration operation and a second (e.g., dense, or other localized) registration operation on the bracketed image with respect to the reference image, wherein each of the first and second registration operations produces an output; generating a blend map for the bracketed image, wherein each value in the blend map indicates whether to use the first or second registration operation output for a corresponding one or more pixels when registering the bracketed image with the reference image; and registering the bracketed image with the reference image, according to the generated blend map.

    Reducing or eliminating artifacts in high dynamic range (HDR) imaging

    公开(公告)号:US10666874B2

    公开(公告)日:2020-05-26

    申请号:US15979259

    申请日:2018-05-14

    Applicant: Apple Inc.

    Abstract: Techniques of reducing or eliminating artifact pixels in high dynamic range (HDR) imaging are described. One embodiment includes obtaining a first image of a scene at a first time with first exposure settings and obtaining a second image of the scene at a second time with second exposure settings that differ from the first exposure settings. The obtained images may be downsampled. The images may be compared to each other to assist with determining a number of potential artifact pixels in the scene. Depending on a relationship between the number of potential artifact pixels and a threshold value, the first image or second image may be selected as a reference image for registering the images with each other. A type of registration performed between the images may depend on which of the two images is the selected reference image. The registered images may be used to generate an HDR image.

    Reducing Or Eliminating Artifacts In High Dynamic Range (HDR) Imaging

    公开(公告)号:US20180352134A1

    公开(公告)日:2018-12-06

    申请号:US15979259

    申请日:2018-05-14

    Applicant: Apple Inc.

    CPC classification number: H04N5/2356 H04N5/23232 H04N5/2355 H04N5/35581

    Abstract: Techniques of reducing or eliminating artifact pixels in high dynamic range (HDR) imaging are described. One embodiment includes obtaining a first image of a scene at a first time with first exposure settings and obtaining a second image of the scene at a second time with second exposure settings that differ from the first exposure settings. The obtained images may be downsampled. The images may be compared to each other to assist with determining a number of potential artifact pixels in the scene. Depending on a relationship between the number of potential artifact pixels and a threshold value, the first image or second image may be selected as a reference image for registering the images with each other. A type of registration performed between the images may depend on which of the two images is the selected reference image. The registered images may be used to generate an HDR image.

    Progressive image fusion
    4.
    发明授权

    公开(公告)号:US11113802B1

    公开(公告)日:2021-09-07

    申请号:US16564573

    申请日:2019-09-09

    Applicant: Apple Inc.

    Abstract: An adaptive approach to image bracket determination and a more memory-efficient approach to image fusion, which are designed to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions, are described. An incoming preview image stream may be obtained from an image capture device. When a capture request is received, an analysis may be performed on an image from the preview image stream that has a predetermined temporal relationship to the image capture request. Based on the analysis, a set of images (and their respective capture parameters, e.g., exposure time) may be determined for the image capture device to capture. As the determined set of images are captured, they may be registered and fused in a memory-efficient manner that, e.g., places an upper limit on the overall memory footprint of the registration and fusion operations—regardless of how many images are captured in total.

    Fusion-adaptive noise reduction
    5.
    发明授权

    公开(公告)号:US11094039B1

    公开(公告)日:2021-08-17

    申请号:US16563410

    申请日:2019-09-06

    Applicant: Apple Inc.

    Abstract: Devices, methods, and computer-readable media describing an adaptive approach for image selection, fusion, and noise reduction, e.g., to generate low noise and high dynamic range (HDR) images with improved motion freezing in a variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images. When a capture request is received, a set of rules may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. The fusion operation may be designed to adaptively fuse the selected images, e.g., in a fashion that is determined to be optimal from a noise variance minimization standpoint. A fusion-adaptive noise reduction process may further be performed on the resultant fused image.

    Unified bracketing approach for imaging

    公开(公告)号:US10977778B2

    公开(公告)日:2021-04-13

    申请号:US16426448

    申请日:2019-05-30

    Applicant: Apple Inc.

    Abstract: Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV− image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.

    Unified bracketing approach for imaging

    公开(公告)号:US11562470B2

    公开(公告)日:2023-01-24

    申请号:US17224830

    申请日:2021-04-07

    Applicant: Apple Inc.

    Abstract: Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV− image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.

    Generalized fusion techniques based on minimizing variance and asymmetric distance measures

    公开(公告)号:US11189017B1

    公开(公告)日:2021-11-30

    申请号:US16563273

    申请日:2019-09-06

    Applicant: Apple Inc.

    Abstract: Devices, methods, and computer-readable media describing an adaptive approach for image selection, fusion, and noise reduction, e.g., to generate low noise and high dynamic range (HDR) images with improved motion freezing in a variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images. When a capture request is received, a set of rules may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. The fusion operation may be designed to adaptively fuse the selected images, e.g., in a fashion that is determined to be optimal from a noise variance minimization standpoint. A fusion-adaptive noise reduction process may further be performed on the resultant fused image.

    Low-light and/or long exposure image capture mode

    公开(公告)号:US11102421B1

    公开(公告)日:2021-08-24

    申请号:US16996375

    申请日:2020-08-18

    Applicant: Apple Inc.

    Abstract: An incoming image stream may be obtained from an image capture device operating in low-light conditions and/or a simulated long exposure image capture mode. As images are obtained, a weighting operation may be performed on the pixels of the captured images to generate and/or update an accumulative weight map, wherein the weighting is based, e.g., on the proximity of the captured pixels' values to the respective image capture device's maximum observable pixel value. As batches of images are obtained, they may be fused, e.g., according to the accumulative weight map, in a memory-efficient manner that places an upper limit on the overall memory footprint of the fusion operations, to simulate an actual long exposure image capture. In some embodiments, the weight map may be stored at a lower resolution than the obtained images and then upscaled, e.g., via the use of guided filters, before being applied in the fusion operations.

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