公开(公告)号：US20240020807A1

公开(公告)日：2024-01-18

申请号：US17812027

申请日：2022-07-12

Applicant: Apple Inc.

Inventor： Marius Tico ,  Tiffany J. Cheng ,  Tanmay Nitin Bichu

IPC: G06T5/50 ,  G06T5/00 ,  G06T3/40 ,  G06N3/04

CPC classification number: G06T5/50 ,  G06T5/002 ,  G06T3/40 ,  G06N3/0454 ,  G06T2207/20221 ,  G06T2207/20016 ,  G06T2207/20084

Abstract: Electronic devices, methods, and program storage devices for leveraging machine learning to perform high-resolution and low latency image fusion and/or noise reduction are disclosed. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images, long exposure images, EV0/EV− image pairs, etc., which are received according to a particular pattern. When a capture request is received, two or more intermediate assets may be generated from images from the incoming image stream and fed into a neural network that has been trained to fuse and/or noise reduce the intermediate assets. In some embodiments, the resultant fused image generated from the two or more intermediate assets may have a higher resolution than at least one of the images that were used to generate at least one of the two or more intermediate assets.