CN113574897A - 滤波方法及装置、计算机存储介质 - Google Patents
滤波方法及装置、计算机存储介质 Download PDFInfo
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Abstract
本申请实施例提供了滤波方法及装置、计算机存储介质;方法包括:获取待滤波像素信息;确定边信息;将待滤波像素信息和边信息输入至基于神经网络的滤波器中,以输出得到滤波后像素,其中,滤波器由在线滤波部分结合离线滤波部分得到,其中,所述滤波器由在线滤波部分结合离线滤波部分得到。
Description
PCT国内申请,说明书已公开。
Claims (43)
- PCT国内申请,权利要求书已公开。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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US201962822949P | 2019-03-24 | 2019-03-24 | |
US62/822,949 | 2019-03-24 | ||
PCT/CN2019/105799 WO2020192034A1 (zh) | 2019-03-24 | 2019-09-12 | 滤波方法及装置、计算机存储介质 |
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CN113574897A true CN113574897A (zh) | 2021-10-29 |
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US (1) | US11985313B2 (zh) |
EP (1) | EP3941066A4 (zh) |
JP (1) | JP2022525235A (zh) |
KR (1) | KR20210134397A (zh) |
CN (1) | CN113574897A (zh) |
WO (1) | WO2020192034A1 (zh) |
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WO2021170901A1 (en) * | 2020-02-24 | 2021-09-02 | Nokia Technologies Oy | A method, an apparatus and a computer program product for video encoding and video decoding |
US11647216B2 (en) | 2021-04-12 | 2023-05-09 | Tencent America LLC | Techniques for signaling neural network topology, parameters, and processing information in video stream |
US11979565B2 (en) | 2021-05-27 | 2024-05-07 | Tencent America LLC | Content-adaptive online training method and apparatus for post-filtering |
CN116320410A (zh) * | 2021-12-21 | 2023-06-23 | 腾讯科技(深圳)有限公司 | 一种数据处理方法、装置、设备以及可读存储介质 |
WO2024019343A1 (ko) * | 2022-07-20 | 2024-01-25 | 현대자동차주식회사 | 다양한 잡음 및 특성에 적응적인 비디오 인루프 필터 |
WO2024073145A1 (en) * | 2022-09-30 | 2024-04-04 | Beijing Dajia Internet Information Technology Co., Ltd. | Methods and devices for adaptive loop filtering and cross-component adaptive loop filter |
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US8572184B1 (en) * | 2007-10-04 | 2013-10-29 | Bitdefender IPR Management Ltd. | Systems and methods for dynamically integrating heterogeneous anti-spam filters |
CN101841701B (zh) * | 2009-03-20 | 2012-05-23 | 华为技术有限公司 | 基于宏块对的编解码方法及装置 |
US9762906B2 (en) * | 2013-02-18 | 2017-09-12 | Mediatek Inc. | Method and apparatus for video decoding using multi-core processor |
GB2539845B (en) | 2015-02-19 | 2017-07-12 | Magic Pony Tech Ltd | Offline training of hierarchical algorithms |
CN107925762B (zh) * | 2015-09-03 | 2020-11-27 | 联发科技股份有限公司 | 基于神经网络的视频编解码处理方法和装置 |
US10531111B2 (en) * | 2015-11-06 | 2020-01-07 | Microsoft Technology Licensing, Llc | Flexible reference picture management for video encoding and decoding |
US11132619B1 (en) * | 2017-02-24 | 2021-09-28 | Cadence Design Systems, Inc. | Filtering in trainable networks |
US20180293486A1 (en) * | 2017-04-07 | 2018-10-11 | Tenstorrent Inc. | Conditional graph execution based on prior simplified graph execution |
CN108932697B (zh) * | 2017-05-26 | 2020-01-17 | 杭州海康威视数字技术股份有限公司 | 一种失真图像的去失真方法、装置及电子设备 |
MX2019014443A (es) * | 2017-05-31 | 2020-02-10 | Interdigital Vc Holdings Inc | Un metodo y un dispositivo para codificacion y decodificacion de imagenes. |
CN108184129B (zh) * | 2017-12-11 | 2020-01-10 | 北京大学 | 一种视频编解码方法、装置及用于图像滤波的神经网络 |
CN108134932B (zh) | 2018-01-11 | 2021-03-30 | 上海交通大学 | 基于卷积神经网络的视频编解码环路内滤波实现方法及*** |
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2019
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- 2021-09-14 US US17/475,237 patent/US11985313B2/en active Active
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Publication number | Publication date |
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WO2020192034A1 (zh) | 2020-10-01 |
EP3941066A1 (en) | 2022-01-19 |
KR20210134397A (ko) | 2021-11-09 |
JP2022525235A (ja) | 2022-05-11 |
US20220007015A1 (en) | 2022-01-06 |
EP3941066A4 (en) | 2022-06-22 |
US11985313B2 (en) | 2024-05-14 |
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