公开(公告)号：US20240422316A1

公开(公告)日：2024-12-19

申请号：US18818526

申请日：2024-08-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kai Cui ,  Atanas Boev ,  Eckehard Steinbach ,  Elena Alexandrovna Alshina ,  Ahmet Burakhan Koyuncu

IPC: H04N19/12 ,  H04N19/119 ,  H04N19/17 ,  H04N19/33 ,  H04N19/42 ,  H04N19/625 ,  H04N19/63

Abstract: The present disclosure relates to image modification such as an image enhancement wherein the processing is at least partially based on neural networks. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The primary channel is processed based on a first spatial frequency transform to obtain a transformed primary channel and the secondary channel is processed based on a second spatial frequency transform to obtain a transformed secondary channel. The transformed primary channel is processed by means of a first neural network to obtain a modified transformed primary channel and the transformed secondary channel is processed based on the transformed primary channel by means of a second neural network to obtain a modified transformed secondary channel.

公开(公告)号：US09954644B2

公开(公告)日：2018-04-24

申请号：US14891778

申请日：2013-01-04

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wei Su ,  Li Zeng ,  Kai Cui

IPC: H04L1/00 ,  G06F11/10 ,  H04L25/14 ,  H04L25/49

CPC classification number: H04L1/0041 ,  G06F11/10 ,  H04L1/0045 ,  H04L1/0057 ,  H04L25/14 ,  H04L25/49

Abstract: Embodiments of the present invention disclose an Ethernet data processing method, an Ethernet physical layer chip, and Ethernet equipment. Applicable to data processing at a transmit end, the method includes: performing line coding on data from a media access control layer, so as to obtain serial data code blocks; performing forward error correction FEC coding on the serial data code blocks, so as to obtain FEC frames, which specifically includes: inserting Y check bits every X consecutive data bits, where the Y check bits are generated when FEC coding is performed on the X consecutive data bits; and distributing, at a distribution granularity of a bits, the FEC frames successively to N virtual channels, where a and N are both positive integers, and a is less than a quantity of bits included in one FEC frame.

公开(公告)号：US12047613B2

公开(公告)日：2024-07-23

申请号：US18064745

申请日：2022-12-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kai Cui ,  Atanas Boev ,  Elena Alexandrovna Alshina ,  Eckehard Steinbach

IPC: H04N19/88 ,  H04N19/136 ,  H04N19/167 ,  H04N19/17 ,  H04N19/186 ,  H04N19/436

CPC classification number: H04N19/88 ,  H04N19/136 ,  H04N19/167 ,  H04N19/17 ,  H04N19/186 ,  H04N19/436

Abstract: The present disclosure relates to image modification such as an image enhancement. The image enhancement may be applied for any image modification and it may be applied during or after image encoding and/or decoding, e.g. as a loop filter or a post filter. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The processing is based on a neural network. In order to enhance the image modification performance, prior to applying the modification, the image channels are analyzed and a primary channel and the secondary channels are determined, which may vary for multiples of images, images or image areas.

公开(公告)号：US20230116285A1

公开(公告)日：2023-04-13

申请号：US18064745

申请日：2022-12-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kai Cui ,  Atanas Boev ,  Elena Alexandrovna Alshina ,  Eckehard Steinbach

IPC: H04N19/88 ,  H04N19/436 ,  H04N19/167 ,  H04N19/186 ,  H04N19/136 ,  H04N19/17

Abstract: The present disclosure relates to image modification such as an image enhancement. The image enhancement may be applied for any image modification and it may be applied during or after image encoding and/or decoding, e.g. as a loop filter or a post filter. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The processing is based on a neural network. In order to enhance the image modification performance, prior to applying the modification, the image channels are analyzed and a primary channel and the secondary channels are determined, which may vary for multiples of images, images or image areas.