SYSTEM AND METHOD FOR SCENE-ADAPTIVE DENOISE SCHEDULING AND EFFICIENT DEGHOSTING

    公开(公告)号:US20240221130A1

    公开(公告)日:2024-07-04

    申请号:US18149714

    申请日:2023-01-04

    Abstract: A method includes generating alignment maps for a first image frame having a first exposure level and a second image frame having a second exposure level different than the first exposure level. The method also includes generating, for the second image frame and a third image frame having a third exposure level different than the first and second exposure levels, shadow maps, saturation maps, and multi-exposure (ME) motion maps based on the alignment maps. The method further includes determining, based on the shadow maps, saturation maps, and ME motion maps, whether to perform machine learning-based denoising and, if so, on which image frame(s) to perform the machine learning-based denoising. In addition, the method includes updating at least one saturation map and at least one ME motion map for at least one of the second and third image frames depending on the image frame(s) on which the denoising is to be performed.

    MULTI-FRAME LIKELIHOOD-BASED ADAPTIVE BAD PIXEL CORRECTION IN IMAGE PROCESSING APPLICATIONS OR OTHER APPLICATIONS

    公开(公告)号:US20250117894A1

    公开(公告)日:2025-04-10

    申请号:US18480829

    申请日:2023-10-04

    Abstract: A method includes obtaining multiple input image frames and generating bad pixel maps associated with different ones of the input image frames. Each bad pixel map is generated using first and second adaptive thresholds that are based on statistical properties of image data contained in a specified operation window within the associated input image frame. The method also includes generating at least one refined bad pixel map using the bad pixel maps associated with two or more of the input image frames. The method further includes using one or more coordinates of one or more bad pixels identified in the at least one refined bad pixel map to update one or more pixel values of at least one of the input image frames.

    ADAPTIVE SUB-PIXEL SPATIAL TEMPORAL INTERPOLATION FOR COLOR FILTER ARRAY

    公开(公告)号:US20230047764A1

    公开(公告)日:2023-02-16

    申请号:US17665054

    申请日:2022-02-04

    Abstract: The present disclosure describes devices and methods for generating RGB images from Bayer filter images using adaptive sub-pixel spatiotemporal interpolation. An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame and a kernel for green pixels, generate a green channel of a joint demosaiced-warped output RGB pixel from the input Bayer frame based on the green values at the green pixel locations, the kernel for green pixels, and an alignment vector map, and generate red and blue channels of the joint demosaiced-warped output RGB pixel from the input Bayer frame based on the estimated green values at the red and blue pixel locations, kernels for red and blue pixels, and the alignment vector map.

    Adaptive sub-pixel spatial temporal interpolation for color filter array

    公开(公告)号:US11869169B2

    公开(公告)日:2024-01-09

    申请号:US17665054

    申请日:2022-02-04

    CPC classification number: G06T3/4015 G06T7/20 G06T11/001 G06T2207/10024

    Abstract: The present disclosure describes devices and methods for generating RGB images from Bayer filter images using adaptive sub-pixel spatiotemporal interpolation. An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame and a kernel for green pixels, generate a green channel of a joint demosaiced-warped output RGB pixel from the input Bayer frame based on the green values at the green pixel locations, the kernel for green pixels, and an alignment vector map, and generate red and blue channels of the joint demosaiced-warped output RGB pixel from the input Bayer frame based on the estimated green values at the red and blue pixel locations, kernels for red and blue pixels, and the alignment vector map.

    TEXTURE-PRESERVING HALO SUPPRESSION FOR IMAGING SYSTEMS

    公开(公告)号:US20250037250A1

    公开(公告)日:2025-01-30

    申请号:US18490505

    申请日:2023-10-19

    Abstract: A method includes obtaining, using at least one processing device of an electronic device, an input image containing blur. The method also includes generating, using the at least one processing device, an edge enhancement mask and a gain mask based on the input image. The method further includes generating, using the at least one processing device, a halo-suppressed edge mask based on the edge enhancement mask and the gain mask. In addition, the method includes generating, using the at least one processing device, a sharpened image based on the input image and the halo-suppressed edge mask.

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