System and method for multi-exposure, multi-frame blending of red-green-blue-white (RGBW) images

    公开(公告)号:US12094086B2

    公开(公告)日:2024-09-17

    申请号:US17587309

    申请日:2022-01-28

    CPC classification number: G06T5/50 G06T5/73 G06T2207/10024 G06T2207/20221

    Abstract: A method includes obtaining multiple images of a scene using at least one red-green-blue-white (RGBW) image sensor. The method also includes generating multi-channel frames at different exposure levels from the images. The method further includes estimating motion across exposure differences between the different exposure levels using a white channel of the multi-channel frames as a guidance signal to generate multiple motion maps. The method also includes estimating saturation across the exposure differences between the different exposure levels to generate multiple saturation maps. The method further includes using the generated motion maps and saturation maps to recover saturations from the different exposure levels and generate a saturation-free RGBW frame. In addition, the method includes processing the saturation-free RGBW frame to generate a final image of the scene.

    System and method for motion warping using multi-exposure frames

    公开(公告)号:US11503221B2

    公开(公告)日:2022-11-15

    申请号:US16837785

    申请日:2020-04-01

    Abstract: A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes encoding, using at least one processor, each of the first image frame and the second image frames using a convolutional neural network to generate a corresponding feature map. The method further includes aligning, using the at least one processor, encoded features of the feature map corresponding to the first image frame with encoded features of the feature maps corresponding to the second image frames.

    SINGLE-IMAGE DETAIL AND CONTRAST ENHANCEMENT

    公开(公告)号:US20220020120A1

    公开(公告)日:2022-01-20

    申请号:US17103809

    申请日:2020-11-24

    Abstract: A method includes obtaining, using at least one processor, an image of a scene including image data in each of multiple channels of a color space. The method also includes decomposing a channel of the image into a first base layer and a first detail layer. The method further includes generating a first enhanced detail layer by manipulating a characteristic of the first detail layer. The method also includes decomposing the first base layer into a second base layer and a second detail layer. The method further includes generating a second enhanced detail layer by manipulating a characteristic of the second detail layer. In addition, the method includes combining the first enhanced detail layer, the second enhanced detail layer, and the second base layer to obtain an enhanced image of the scene.

    LOCAL HISTOGRAM MATCHING WITH GLOBAL REGULARIZATION AND MOTION EXCLUSION FOR MULTI-EXPOSURE IMAGE FUSION

    公开(公告)号:US20210042897A1

    公开(公告)日:2021-02-11

    申请号:US16707652

    申请日:2019-12-09

    Abstract: A method includes obtaining, using at least one sensor of an electronic device, multiple image frames of a scene. The multiple image frames include a first image frame and a second image frame captured using different exposures. The method also includes excluding, using at least one processor of the electronic device, pixels in the first and second image frames based on a coarse motion map. The method further includes generating, using the at least one processor, multiple local histogram match maps based on different portions of the first and second image frames. In addition, the method includes generating, using the at least one processor, an image of the scene using the local histogram match maps.

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