De-blocking filter design for HEVC and H.264/AVC

Muchen Li, Jinjia Zhou, Dajiang Zhou, Xiao Peng, Satoshi Goto

研究成果: Conference contribution

12 引用 (Scopus)

抜粋

As the successor of H.264/AVC, HEVC inherits the basic property of H.264/AVC and gives some new features. This paper introduces a novel dual-standard de-blocking filter architecture which could support both of the HEVC and H.264/AVC standards. It takes 48 clock cycles for H.264/AVC and 24 cycles for HEVC for every 16×16 block. The proposed unified-cross based processing order greatly reduces the design complexity. The proposed architecture occupies 43.3k equivalent gate count at frequency of 200MHz in SMIC 65nm library, which could satisfy the throughput requirement of quad-full high definition (QFHD) on 60fps for H.264/AVC and super hi-vision (SHV) on 60fps for HEVC. In addition, the total power consumption could be reduced by 37.8% in skipping mode when the edges need not be filtered.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ273-284
ページ数12
7674 LNCS
DOI
出版物ステータスPublished - 2012
イベント13th Pacific-Rim Conference on Multimedia, PCM 2012 - Singapore
継続期間: 2012 12 42012 12 6

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7674 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other13th Pacific-Rim Conference on Multimedia, PCM 2012
Singapore
期間12/12/412/12/6

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

これを引用

Li, M., Zhou, J., Zhou, D., Peng, X., & Goto, S. (2012). De-blocking filter design for HEVC and H.264/AVC. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 7674 LNCS, pp. 273-284). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 7674 LNCS). https://doi.org/10.1007/978-3-642-34778-8_25