公开(公告)号：US20230076920A1

公开(公告)日：2023-03-09

申请号：US17987723

申请日：2022-11-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Hu Chen ,  Lars Hertel ,  Erhardt Barth ,  Thomas Martinetz ,  Elena Alexandrovna Alshina ,  Anand Meher Kotra ,  Nicola GIULIANI

IPC: G06T5/00 ,  G06T3/40 ,  G06N3/08 ,  G06N3/04

Abstract: The present disclosure relates to image processing and in particular to modification of an image using a processing such as neural network. The processing is performed to generate a correction image based on an input image. Then, the input image is modified by combining it with the correction image. The processing with the neural network includes at least one stage including image down-sampling and filtering of the down-sampled image; and at least one stage of image up-sampling. An advantage of such approach is increased efficiency of the neural network, which may lead to faster learning and improved performance. The embodiments provide methods and apparatuses for the processing with a trained neural network, as well as methods and apparatuses for training of such neural network for image modification.

公开(公告)号：US11490092B2

公开(公告)日：2022-11-01

申请号：US17170122

申请日：2021-02-08

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhijie Zhao ,  Yuntan Fang ,  Jun Zha ,  Hu Chen ,  Jiantong Zhou

IPC: H04N19/176 ,  H04N19/137 ,  H04N19/132 ,  H04N19/167 ,  H04N7/01 ,  H04N19/31 ,  H04N19/33 ,  H04N5/335

Abstract: The present disclosure relates to encoding of video image using coding parameters, which are adapted based on events related to motion within the video image. Image content is captured by a standard image sensor and an event-triggered sensor, providing an event-signal indicating changes (e.g. amount and time-spatial location) of image intensity. Objects are detected within the video image, based on the event signal assessing motion of the object, and their textures extracted. The spatial-time coding parameters of the video image are determined based on the location and strength of the event signal, and the extent to which the detected objects moves.

公开(公告)号：US12120473B2

公开(公告)日：2024-10-15

申请号：US17659253

申请日：2022-04-14

Applicant: Huawei Technologies Co., Ltd.

Inventor： Weiwei Xu ,  Quanhe Yu ,  Hu Chen ,  Xiaodong Xu

IPC: H04N9/68 ,  H04N9/77

CPC classification number: H04N9/68 ,  H04N9/77

Abstract: A chrominance adjustment method and apparatus, and a storage medium are provided. The method includes: determining a color adjustment coefficient of a chrominance component of a color signal based on a reference display device maximum luminance value (RML) and/or a source maximum luminance value (SML); and adjusting the chrominance component of the color signal based on the color adjustment coefficient.

公开(公告)号：US20230325987A1

公开(公告)日：2023-10-12

申请号：US18336837

申请日：2023-06-16

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yichuan Wang ,  Quanhe Yu ,  Weiwei Xu ,  Hu Chen

IPC: G06T5/00 ,  G06T7/90

CPC classification number: G06T5/009 ,  G06T7/90 ,  G06T2207/20208 ,  G06T2207/10024

Abstract: Tone mapping methods and apparatus provide for receipt by a backend device may of metadata and an HDR image from a frontend device and the generation of a mapping curve based on feature parameters of the mapping curve included in the metadata. Tone mapping on the HDR image can be performed based on the mapping curve. The feature parameters of the mapping curve are determined by the frontend device based on a luminance distribution status of the HDR image. In this way, the mapping curve parameters are determined based on the luminance distribution status of the HDR image so that design of the mapping curve is more flexible, and display effect of the HDR image can be effectively improved.

公开(公告)号：US20210168372A1

公开(公告)日：2021-06-03

申请号：US17170122

申请日：2021-02-08

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhijie Zhao ,  Yuntan Fang ,  Jun Zha ,  Hu Chen ,  Jiantong Zhou

IPC: H04N19/137 ,  H04N19/132 ,  H04N19/167 ,  H04N19/176 ,  H04N7/01

Abstract: The present disclosure relates to encoding of video image using coding parameters, which are adapted based on events related to motion within the video image. Image content is captured by a standard image sensor and an event-triggered sensor, providing an event-signal indicating changes (e.g. amount and time-spatial location) of image intensity. Objects are detected within the video image, based on the event signal assessing motion of the object, and their textures extracted. The spatial-time coding parameters of the video image are determined based on the location and strength of the event signal, and the extent to which the detected objects moves.