An Area-efficient Unified Transform Architecture for VVC

Zhijian Hao, Qi Zheng, Yibo Fan, Guoqing Xiang, Peng Zhang, Heming Sun*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


The next-generation video coding standard Versatile Video Coding (VVC) adopts Multiple Transform Selection (MTS) to the transform module, improving coding efficiency at the expense of high computational complexity. Compared to High Efficiency Video Coding (HEVC), VVC supports larger sizes and extends the transform types to Discrete Cosine Transform (DCT)-II, Discrete Sine Transform (DST)-VII, and DCT-VIII. This paper presents an area-efficient unified architecture for VVC. To reduce the area consumption, we propose an optimized calculation scheme for general transformations where the transform matrix is decomposed into two simpler matrices named the Low-value matrix and the Error matrix. Based on the decomposition algorithm, Shift-Addition Units (SAUs)-based circuits are designed to conduct matrix multiplication and can be reused by three types. As a result, this unified architecture is capable of performing all types and sizes in VVC. The synthesis results indicate that this architecture achieves an area reduction of 37.9% sim 72.2% compared with related works for 32-point transforms.

Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems, ISCAS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781665484855
Publication statusPublished - 2022
Event2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 - Austin, United States
Duration: 2022 May 272022 Jun 1

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310


Conference2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022
Country/TerritoryUnited States


  • area-efficient
  • optimized calculation scheme
  • SAUs-based matrix multiplication
  • unified architecture
  • Versatile Video Coding

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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