REFERENCE FRAME SELECTION FOR MULTI-FRAME IMAGE PROCESSING PIPELINES AND OTHER APPLICATIONS

    公开(公告)号:US20240089606A1

    公开(公告)日:2024-03-14

    申请号:US18474783

    申请日:2023-09-26

    CPC classification number: H04N23/72 H04N23/741

    Abstract: A method includes obtaining, using at least one processing device of an electronic device, multiple image frames having different exposure levels. The method also includes determining whether a moving saturated region is present in at least some of the image frames. The method further includes selecting one of the image frames as a reference frame, where the selected image frame depends on whether the moving saturated region is present in at least some of the image frames. The selected image frame may have a first exposure level when the moving saturated region is present in at least some of the image frames, and the selected image frame may have a second exposure level longer than the first exposure level when the moving saturated region is not present in the image frames.

    Reference frame selection for multi-frame image processing pipelines and other applications

    公开(公告)号:US11889197B1

    公开(公告)日:2024-01-30

    申请号:US18056566

    申请日:2022-11-17

    CPC classification number: H04N23/72 H04N23/741

    Abstract: A method includes obtaining multiple image frames captured during a multi-frame capture operation. The method also includes determining that two or more of the multiple image frames are available for selection as a reference frame, where the two or more image frames are associated with at least two different exposure levels. The method further includes determining whether a moving saturated region is present in the two or more image frames. The method also includes, in response to determining that the moving saturated region is present, selecting an image frame from among the two or more image frames having a first exposure level. In addition, the method includes, in response to determining that the moving saturated region is not present, selecting an image frame from among the two or more image frames having a second exposure level, where the second exposure level is longer than the first exposure level.

    LEARNING BASED DISCRETE COSINE NOISE FILTER
    75.
    发明公开

    公开(公告)号:US20230252604A1

    公开(公告)日:2023-08-10

    申请号:US17665294

    申请日:2022-02-04

    CPC classification number: G06T5/002 G06T5/10 G06T2207/20056

    Abstract: A method includes filtering an input image through a discrete cosine transform based noise filter (DCT-NF). The DCT-NF converts the input image from an original space into a perceptual space, applying gamma correction. The DCT-NF separates luminance channels of the input image from chroma channels of the input image. The DCT-NF divides the input image into overlapping patches and computes DCT transform of the patches. Each patch is a different partial portion of the input image. The DCT-NF suppresses patches that include an input DCT coefficient within a threshold range. The DCT-NF applies an inverse discrete cosine transform (IDCT) to the suppressed patches and remaining overlapping patches that include an input DCT coefficient outside the threshold range. The DCT-NF re-combines luminance and chroma channels of the IDCT-transformed patches. The DCT-NF generates a DCT noise-filtered output image by re-converting the IDCT-transformed patches to the original space by applying inverse gamma correction.

    Apparatus and method for operating multiple cameras for digital photography

    公开(公告)号:US11412136B2

    公开(公告)日:2022-08-09

    申请号:US16704982

    申请日:2019-12-05

    Abstract: A method includes, in a first mode, positioning first and second tiltable image sensor modules of an image sensor array of an electronic device so that a first optical axis of the first tiltable image sensor module and a second optical axis of the second tiltable image sensor module are substantially perpendicular to a surface of the electronic device, and the first and second tiltable image sensor modules are within a thickness profile of the electronic device. The method also includes, in a second mode, tilting the first and second tiltable image sensor modules so that the first optical axis of the first tiltable image sensor module and the second optical axis of the second tiltable image sensor module are not perpendicular to the surface of the electronic device, and at least part of the first and second tiltable image sensor modules are no longer within the thickness profile of the electronic device.

    Systems and methods for dynamic range compression in multi-frame processing

    公开(公告)号:US11388348B2

    公开(公告)日:2022-07-12

    申请号:US17139920

    申请日:2020-12-31

    Abstract: A method includes obtaining, using at least one processor of an electronic device, a high dynamic range (HDR) input Bayer image. The method also includes generating, using the at least one processor of the electronic device, a plurality of synthesized images at different exposure levels based on the input Bayer image. The method further includes fusing, using the at least one processor of the electronic device, the synthesized images to generate a fused image. The method also includes generating, using the at least one processor of the electronic device, a gain map based on the fused image. In addition, the method includes applying, using the at least one processor of the electronic device, a gain based on the gain map to the input Bayer image.

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