High-throughput de-blocking filter accelerator for high-resolution H.264/AVC/SVC decoding

Cheng-Hao Chen, Chih-Hao Chang, Kuan-Hung Chen
{"title":"High-throughput de-blocking filter accelerator for high-resolution H.264/AVC/SVC decoding","authors":"Cheng-Hao Chen, Chih-Hao Chang, Kuan-Hung Chen","doi":"10.1109/ISNE.2010.5669161","DOIUrl":null,"url":null,"abstract":"This paper presents a high-throughput deblocking filter accelerator which can process one macro block (MB) within 48 cycles for H.264/AVC/SVC. This innovation is achieved by considering both luminance and chrominance data together in arranging the filtering schedule. Cooperating with the filtering schedule, the proposed quadruple-filter-based architecture can simultaneously execute filtering of four edges. Besides, interleaved memory organization is adopted to eliminate all the data conflicts. This design keeps the input/output data order compliant with the raster scanning order so that no additional interfacing overhead is required for reordering the primary input and output data. After being implemented by using a 0.18-µm CMOS technology, this work can achieve the real-time performance requirement of 6K (6000 × 4000@30fps) format when operated at 135 MHz frequency at the cost of 41.6k gates along with 640 bytes single-port SRAM. Compared with previous works, the proposed design not only achieves higher real-time performance requirements but also possesses higher hardware computing efficiency.","PeriodicalId":412093,"journal":{"name":"2010 International Symposium on Next Generation Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Symposium on Next Generation Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNE.2010.5669161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presents a high-throughput deblocking filter accelerator which can process one macro block (MB) within 48 cycles for H.264/AVC/SVC. This innovation is achieved by considering both luminance and chrominance data together in arranging the filtering schedule. Cooperating with the filtering schedule, the proposed quadruple-filter-based architecture can simultaneously execute filtering of four edges. Besides, interleaved memory organization is adopted to eliminate all the data conflicts. This design keeps the input/output data order compliant with the raster scanning order so that no additional interfacing overhead is required for reordering the primary input and output data. After being implemented by using a 0.18-µm CMOS technology, this work can achieve the real-time performance requirement of 6K (6000 × 4000@30fps) format when operated at 135 MHz frequency at the cost of 41.6k gates along with 640 bytes single-port SRAM. Compared with previous works, the proposed design not only achieves higher real-time performance requirements but also possesses higher hardware computing efficiency.
用于高分辨率H.264/AVC/SVC解码的高通量去阻塞滤波器加速器
针对H.264/AVC/SVC,提出了一种可在48个周期内处理一个宏块(MB)的高通量去块滤波加速器。这种创新是通过在安排滤波时间表时同时考虑亮度和色度数据来实现的。在配合滤波调度的情况下,提出的基于四倍滤波器的结构可以同时对四条边进行滤波。此外,采用了交错存储器组织,消除了所有数据冲突。这种设计使输入/输出数据顺序符合栅格扫描顺序,因此不需要额外的接口开销来重新排序主要输入和输出数据。在使用0.18µm CMOS技术实现后,该工作可以在135 MHz频率下以41.6k门和640字节单端口SRAM的成本实现6K (6000 × 4000@30fps)格式的实时性能要求。与以往的工作相比,本设计不仅实现了更高的实时性要求,而且具有更高的硬件计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信