LOCALLY-ADAPTIVE MULTI-SCALE IMAGE ENHANCEMENT

    公开(公告)号:US20240404029A1

    公开(公告)日:2024-12-05

    申请号:US18426063

    申请日:2024-01-29

    Abstract: A method includes downsampling an input frame and performing global contrast enhancement of the input frame based on the downsampled input frame to generate a globally contrast-enhanced frame. The method also includes generating texture maps at different scale resolutions based on the downsampled input frame. The method further includes generating clipped histograms at the different scale resolutions based on the downsampled input frame. The method also includes generating lookup tables (LUTs) at the different scale resolutions based on the texture maps and the clipped histograms. The method further includes applying the LUTs at the different scale resolutions to the input frame in order to generate locally contrast-enhanced frames. In addition, the method includes blending the locally contrast-enhanced frames and the globally contrast-enhanced frame to generate an output frame.

    LEARNING BASED DISCRETE COSINE NOISE FILTER
    8.
    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.

    System and method for flicker avoidance in multi-frame multi-exposure image captures

    公开(公告)号:US12231780B2

    公开(公告)日:2025-02-18

    申请号:US18059822

    申请日:2022-11-29

    Abstract: A method includes obtaining multiple image frames. The method also includes selecting, using at least one processing device of an electronic device, an asymmetrical image pair from the multiple image frames. The asymmetrical image pair includes a first image frame and a second image frame, where the first image frame has a shorter exposure than the second image frame. The method further includes identifying, using the at least one processing device, one or more features based on the asymmetrical image pair. The method also includes determining, using the at least one processing device, whether the first image frame contains flicker based on the one or more features. In addition, the method includes enabling or disabling, using the at least one processing device, the first image frame as a reference candidate based on the determination whether the first image frame contains flicker.

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