公开(公告)号：US20230069953A1

公开(公告)日：2023-03-09

申请号：US17987676

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: A method and apparatus are provided for processing with a trained neural network, and for training of such neural network for image modification, which relate to image processing and in particular to modification of an image using the processing such as the neural network. The processing is performed to generate an output image. The output image is generated by processing the input image with the neural network. 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. The image down-sampling is performed by applying a strided convolution. According to the application, efficiency of the neural network is increased, which may lead to faster learning and improved performance.

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.