公开(公告)号：US12272032B2

公开(公告)日：2025-04-08

申请号：US17820795

申请日：2022-08-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Devendra K. Jangid ,  John Seokjun Lee ,  Hamid R. Sheikh

IPC: G06T5/70

Abstract: A method includes obtaining an input image that contains blur. The method also includes providing the input image to a trained machine learning model, where the trained machine learning model includes (i) a shallow feature extractor configured to extract one or more feature maps from the input image and (ii) a deep feature extractor configured to extract deep features from the one or more feature maps. The method further includes using the trained machine learning model to generate a sharpened output image. The trained machine learning model is trained using ground truth training images and input training images, where the input training images include versions of the ground truth training images with blur created using demosaic and noise filtering operations.

公开(公告)号：US20240062342A1

公开(公告)日：2024-02-22

申请号：US17820795

申请日：2022-08-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Devendra K. Jangid ,  John Seokjun Lee ,  Hamid R. Sheikh

IPC: G06T5/00

CPC classification number: G06T5/002 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A method includes obtaining an input image that contains blur. The method also includes providing the input image to a trained machine learning model, where the trained machine learning model includes (i) a shallow feature extractor configured to extract one or more feature maps from the input image and (ii) a deep feature extractor configured to extract deep features from the one or more feature maps. The method further includes using the trained machine learning model to generate a sharpened output image. The trained machine learning model is trained using ground truth training images and input training images, where the input training images include versions of the ground truth training images with blur created using demosaic and noise filtering operations.