公开(公告)号：US20240378768A1

公开(公告)日：2024-11-14

申请号：US18625894

申请日：2024-04-03

Applicant: NETFLIX, INC.

Inventor： Paul E. DEBEVEC ,  Dmitriy SMIRNOV ,  Xueming YU ,  Chloe LEGENDRE

IPC: G06T11/00 ,  G06T5/70 ,  G06T7/194

Abstract: In various embodiments, alpha channels are determined for images. In some embodiments, an image is captured using foreground lighting of a particular color and a background having a complement color. The image is pre-processed to correct for color crosstalk. The complement color in the pre-processed image is converted to grayscale to generate a holdout matte, which can be inverted to obtain the alpha channel (i.e., matte) that indicates pixels of the image belonging to the foreground and/or background. Bounce light is also removed by subtracting the bounce light, which can be determined during calibration, multiplied by the holdout matte. Then, a trained machine learning model can be applied to convert a foreground of the image having the particular color into a colorized foreground image that also includes the complement color. In addition, the image and corresponding alpha channel can be used to train a machine learning model to predict an alpha channel given an image.