公开(公告)号：US11941871B2

公开(公告)日：2024-03-26

申请号：US17981623

申请日：2022-11-07

Applicant: DEEPX CO., LTD.

Inventor： Lok Won Kim ,  Sun Mi Lee ,  Il Myeong Im

IPC: G06V10/776 ,  G06V10/24 ,  G06V10/82

CPC classification number: G06V10/776 ,  G06V10/24 ,  G06V10/82

Abstract: A control method of an image signal processor for an artificial neural network may be configured to include a step of acquiring an image, a step of determining at least one image characteristic data corresponding to the image, and a step of determining an image correction parameter (SFR preset) for improving an inference accuracy of an artificial neural network model based on the at least one of image characteristic data and an inference accuracy profile of an artificial neural network model.

公开(公告)号：US12288386B2

公开(公告)日：2025-04-29

申请号：US18587869

申请日：2024-02-26

Applicant: DEEPX CO., LTD.

Inventor： Lok Won Kim ,  Sun Mi Lee ,  Il Myeong Im

IPC: G06V10/776 ,  G06V10/24 ,  G06V10/82

Abstract: A control method of an image signal processor for an artificial neural network may be configured to include a step of acquiring an image, a step of determining at least one image characteristic data corresponding to the image, and a step of determining an image correction parameter (SFR preset) for improving an inference accuracy of an artificial neural network model based on the at least one of image characteristic data and an inference accuracy profile of an artificial neural network model.