A low-cost approximate 32-point transform architecture

Heming Sun, Zhengxue Cheng, Amir Masoud Gharehbaghi, Shinji Kimura, Masahiro Fujita

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

2 Citations (Scopus)


This paper presents an area-efficient approximate method for 32-point transform which is one of the most area-consuming parts in High Efficiency Video Coding (HEVC) applications. Compared to prior literatures, this work reduces the hardware cost of transform by 1) eliminating all the arithmetic operations of 6 least significant bits (LSB), 2) presenting a low-delay method for generating carry propagation from the remaining 5 LSBs and 3) truncating the most significant bits (MSB) according to the position of component. In the implementation of a 32-point forward transform, the experimental results show that 27% area consumption can be saved and the coding efficiency loss aroused by the approximation is only 0.044% compared with the origin.

Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
Publication statusPublished - 2017 Sept 25
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: 2017 May 282017 May 31


Other50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Country/TerritoryUnited States


  • Addition
  • Approximate computing
  • HEVC
  • Multiplication
  • Transform

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'A low-cost approximate 32-point transform architecture'. Together they form a unique fingerprint.

Cite this