MULTI-FRAME DEPTH-BASED MULTI-CAMERA RELIGHTING OF IMAGES

    公开(公告)号:US20220020128A1

    公开(公告)日:2022-01-20

    申请号:US16947106

    申请日:2020-07-17

    Abstract: A method includes capturing a plurality of first images using a first image sensor and a plurality of second images using a second image sensor. The method also includes generating a short single view, short depth map, long single view, and long depth map from the first and second images. The method further includes generating a multi-frame depth map using the short single view, short depth map, long single view, and long depth map. The method also includes generating a gain map using the multi-frame depth map and lighting conditions, where the lighting conditions introduce a relighting effect into the gain map. The method further includes generating a relit short single view and a relit long single view by applying the gain map to the short and long single views. In addition, the method includes generating a relit image by fusing the relit short and long single views.

    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.

    System and method for compositing high dynamic range images

    公开(公告)号:US11128809B2

    公开(公告)日:2021-09-21

    申请号:US16277630

    申请日:2019-02-15

    Abstract: An electronic device, method, and computer readable medium for compositing high dynamic range frames are provided. The electronic device includes a camera, and a processor coupled to the camera. The processor registers the plurality of multi-exposure frames with a hybrid of matched features to align non-reference frames with a reference frame; generates blending maps of the plurality of multi-exposure frames to reduce moving ghost artifacts and identify local areas that are well-exposed in the plurality of multi-exposure frames; and blends the plurality of multi-exposure frames weighted by the blending maps using a two-step weight-constrained exposure fusion technique into a high dynamic range (HDR) frame.

    Progressive compressed domain computer vision and deep learning systems

    公开(公告)号:US11025942B2

    公开(公告)日:2021-06-01

    申请号:US15892141

    申请日:2018-02-08

    Abstract: Methods and systems for compressed domain progressive application of computer vision techniques. A method for decoding video data includes receiving a video stream that is encoded for multi-stage decoding. The method includes partially decoding the video stream by performing one or more stages of the multi-stage decoding. The method includes determining whether a decision for a computer vision system can be identified based on the partially decoded video stream. Additionally, the method includes generating the decision for the computer vision system based on decoding of the video stream. A system for encoding video data includes a processor configured to receive the video data from a camera, encode the video data received from the camera into a video stream for consumption by a computer vision system, and include metadata with the encoded video stream to indicate whether a decision for the computer vision system can be identified from the metadata.

    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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