A low-cost approximate 32-point transform architecture

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

doi:10.1109/ISCAS.2017.8050263

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 proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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 language	English
Title of host publication	IEEE International Symposium on Circuits and Systems
Subtitle of host publication	From Dreams to Innovation, ISCAS 2017 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467368520
DOIs	https://doi.org/10.1109/ISCAS.2017.8050263
Publication status	Published - 2017 Sept 25
Event	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States Duration: 2017 May 28 → 2017 May 31

Other

Other	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Country/Territory	United States
City	Baltimore
Period	17/5/28 → 17/5/31

Keywords

Addition
Approximate computing
HEVC
Multiplication
Transform

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.2017.8050263

Cite this

A low-cost approximate 32-point transform architecture. / Sun, Heming; Cheng, Zhengxue; Gharehbaghi, Amir Masoud et al.
IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8050263.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sun, H, Cheng, Z, Gharehbaghi, AM, Kimura, S & Fujita, M 2017, A low-cost approximate 32-point transform architecture. in IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings., 8050263, Institute of Electrical and Electronics Engineers Inc., 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017, Baltimore, United States, 17/5/28. https://doi.org/10.1109/ISCAS.2017.8050263

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abstract = "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.",

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AB - 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.

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A low-cost approximate 32-point transform architecture

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Keywords

ASJC Scopus subject areas

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