A low-power VLSI architecture for HEVC de-quantization and inverse transform

Heming Sun, Dajiang Zhou, Shuping Zhang, Shinji Kimura

研究成果: Article査読

1 被引用数 (Scopus)


In this paper, we present a low-power system for the de- quantization and inverse transform of HEVC. Firstly, we present a low-delay circuit to process the coded results of the syntax elements, and then reduce the number of multipliers from 16 to 4 for the de-quantization process of each 4x4 block. Secondly, we give two efficient data mapping schemes for the memory between de-quantization and inverse transform, and the memory for transpose. Thirdly, the zero information is utilized through the whole system. For two memory parts, the write and read operation of zero blocks/ rows/ coefficients can all be skipped to save the power consumption. The results show that up to 86% power consumption can be saved for the memory part under the configuration of "Random-access" and common QPs. For the logical part, the proposed architecture for de-quantization can reduce 77% area consumption. Overall, our system can support real-time coding for 8K x 4K 120 fps video sequences and the normalized area consumption can be reduced by 68% compared with the latest work.

ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
出版ステータスPublished - 2016 12月

ASJC Scopus subject areas

  • 信号処理
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 電子工学および電気工学
  • 応用数学


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