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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.
Inventor: Michael Yanis GHARBI , Zhihao XIA , Elya SHECHTMAN , Ke WANG , He ZHANG
CPC classification number: G06T3/4038 , G06T5/005 , G06T7/90 , G06T11/001 , G06T2207/20081 , G06T2207/20212
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.