PARAMETRIC COMPOSITE IMAGE HARMONIZATION
    1.
    发明公开

    公开(公告)号:US20240193724A1

    公开(公告)日:2024-06-13

    申请号:US18076868

    申请日:2022-12-07

    Applicant: ADOBE INC.

    Abstract: An image processing system employs a parametric model for image harmonization of composite images. The parametric model employs a two-stage approach to harmonize an input composite image. At a first stage, a color curve prediction model predicts color curve parameters for the composite image. At a second stage, the composite image with the color curve parameters are input to a shadow map prediction model, which predicts a shadow map. The predicted color curve parameters and shadow map are applied to the composite image to provide a harmonized composite image. In some aspects, the color curve parameters and shadow map are predicted using a lower-resolution composite image and up-sampled to apply to a higher-resolution version of the composite image. The harmonized composite image can be output with the predicted color curve parameters and/or shadow map, which can be modified by a user to further enhance the harmonized composite image.

    SEMANTIC-AWARE AUTO WHITE BALANCE
    2.
    发明公开

    公开(公告)号:US20230410553A1

    公开(公告)日:2023-12-21

    申请号:US17842056

    申请日:2022-06-16

    Applicant: ADOBE INC.

    CPC classification number: G06V40/162 G06T2207/10024 G06T5/001 G06V40/172

    Abstract: An image processing system auto white balances an image using an object in the image and a reference color distribution. Given an input image, a target object in the input image is identified. A reference color distribution for the object type of the target object from the input image is accessed. One or more image processing settings are determined that, when applied to the input image, minimize a difference in values between pixels of the target object and the reference color distribution. A white balanced image is generated by applying the one or more image processing settings to the input image, and the white balanced image is provided for presentation.

    ALBEDO RECONSTRUCTION BASED ON INVERSE SHADING PREDICTION

    公开(公告)号:US20250078229A1

    公开(公告)日:2025-03-06

    申请号:US18241039

    申请日:2023-08-31

    Applicant: Adobe Inc.

    Abstract: Various disclosed embodiments are directed to deriving an albedo output image from an input image based on deriving an inverse shading map. For example, an input image can be a photograph of a human face (i.e., the geometric features) with RGB values representing the color values of the face as well as pixels representing shadows (i.e., the shadow features) underneath the chin of the human face. The inverse shading map may be a black and white pixel value image that contains pixels representing the same human face without the RGB values and the shadows underneath the chin. The inverse shading map thus relies on the geometric space, rather than RGB space. Geometric space, for example, allows embodiments to capture the geometric features of a face, as opposed to those geometric features' RGB or shadow details.

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