A High throughput and energy-efficient retina-inspired tone mapping processor

Lili Liu; Xiaoqiang Xiang; Yuxiang Xie; Yongjie Li; Bo Yan; Jun Zhou

doi:10.1109/FCCM.2019.00062

A High throughput and energy-efficient retina-inspired tone mapping processor

Lili Liu
, Xiaoqiang Xiang
, Yuxiang Xie
, Yongjie Li
, Bo Yan
, Jun Zhou^*

^*Corresponding author for this work

University of Electronic Science and Technology of China

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

3 Citations (Scopus)

Abstract

This paper presents a high throughput and energy-efficient retina inspired tone mapping processor. Several hardware design techniques have been proposed to achieve high throughput and high energy efficiency, including data partition based parallel processing with S-shape sliding, adjacent frame feature sharing, multi-layer convolution pipelining and convolution filter compression with zero skipping convolution. The proposed processor has been implemented on a Xilinx's Virtex7 FPGA for demonstration. It is able to achieve a throughput of 189 frames per second for 1024∗768 RGB images with 819 mW. Compared with several state-of-The-Art tone mapping processors, the proposed processor achieves higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained video enhancement applications such as autonomous vehicle and drone monitoring.

Original language	English
Title of host publication	Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	321
Number of pages	1
ISBN (Electronic)	9781728111315
DOIs	https://doi.org/10.1109/FCCM.2019.00062
Publication status	Published - Apr 2019
Externally published	Yes
Event	27th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019 - San Diego, United States Duration: 28 Apr 2019 → 1 May 2019

Publication series

Name	Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019

Conference

Conference	27th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019
Country/Territory	United States
City	San Diego
Period	28/04/19 → 1/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy Efficient
Retina Inspired
Tone Mapping Processor

Access to Document

10.1109/FCCM.2019.00062

Cite this

Liu, L., Xiang, X., Xie, Y., Li, Y., Yan, B., & Zhou, J. (2019). A High throughput and energy-efficient retina-inspired tone mapping processor. In Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019 (pp. 321). Article 8735569 (Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCCM.2019.00062

Liu, Lili ; Xiang, Xiaoqiang ; Xie, Yuxiang et al. / A High throughput and energy-efficient retina-inspired tone mapping processor. Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 321 (Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019).

@inproceedings{19242c71085c4e55976c5e1abf8c793b,

title = "A High throughput and energy-efficient retina-inspired tone mapping processor",

abstract = "This paper presents a high throughput and energy-efficient retina inspired tone mapping processor. Several hardware design techniques have been proposed to achieve high throughput and high energy efficiency, including data partition based parallel processing with S-shape sliding, adjacent frame feature sharing, multi-layer convolution pipelining and convolution filter compression with zero skipping convolution. The proposed processor has been implemented on a Xilinx's Virtex7 FPGA for demonstration. It is able to achieve a throughput of 189 frames per second for 1024∗768 RGB images with 819 mW. Compared with several state-of-The-Art tone mapping processors, the proposed processor achieves higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained video enhancement applications such as autonomous vehicle and drone monitoring.",

keywords = "Energy Efficient, Retina Inspired, Tone Mapping Processor",

author = "Lili Liu and Xiaoqiang Xiang and Yuxiang Xie and Yongjie Li and Bo Yan and Jun Zhou",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019 ; Conference date: 28-04-2019 Through 01-05-2019",

year = "2019",

month = apr,

doi = "10.1109/FCCM.2019.00062",

language = "English",

series = "Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "321",

booktitle = "Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019",

address = "United States",

}

Liu, L, Xiang, X, Xie, Y, Li, Y, Yan, B & Zhou, J 2019, A High throughput and energy-efficient retina-inspired tone mapping processor. in Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019., 8735569, Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019, Institute of Electrical and Electronics Engineers Inc., pp. 321, 27th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019, San Diego, United States, 28/04/19. https://doi.org/10.1109/FCCM.2019.00062

A High throughput and energy-efficient retina-inspired tone mapping processor. / Liu, Lili; Xiang, Xiaoqiang; Xie, Yuxiang et al.
Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 321 8735569 (Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019).

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

TY - GEN

T1 - A High throughput and energy-efficient retina-inspired tone mapping processor

AU - Liu, Lili

AU - Xiang, Xiaoqiang

AU - Xie, Yuxiang

AU - Li, Yongjie

AU - Yan, Bo

AU - Zhou, Jun

PY - 2019/4

Y1 - 2019/4

N2 - This paper presents a high throughput and energy-efficient retina inspired tone mapping processor. Several hardware design techniques have been proposed to achieve high throughput and high energy efficiency, including data partition based parallel processing with S-shape sliding, adjacent frame feature sharing, multi-layer convolution pipelining and convolution filter compression with zero skipping convolution. The proposed processor has been implemented on a Xilinx's Virtex7 FPGA for demonstration. It is able to achieve a throughput of 189 frames per second for 1024∗768 RGB images with 819 mW. Compared with several state-of-The-Art tone mapping processors, the proposed processor achieves higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained video enhancement applications such as autonomous vehicle and drone monitoring.

AB - This paper presents a high throughput and energy-efficient retina inspired tone mapping processor. Several hardware design techniques have been proposed to achieve high throughput and high energy efficiency, including data partition based parallel processing with S-shape sliding, adjacent frame feature sharing, multi-layer convolution pipelining and convolution filter compression with zero skipping convolution. The proposed processor has been implemented on a Xilinx's Virtex7 FPGA for demonstration. It is able to achieve a throughput of 189 frames per second for 1024∗768 RGB images with 819 mW. Compared with several state-of-The-Art tone mapping processors, the proposed processor achieves higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained video enhancement applications such as autonomous vehicle and drone monitoring.

KW - Energy Efficient

KW - Retina Inspired

KW - Tone Mapping Processor

UR - https://www.scopus.com/pages/publications/85068351221

U2 - 10.1109/FCCM.2019.00062

DO - 10.1109/FCCM.2019.00062

M3 - Conference contribution

AN - SCOPUS:85068351221

T3 - Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019

SP - 321

BT - Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019

Y2 - 28 April 2019 through 1 May 2019

ER -

Liu L, Xiang X, Xie Y, Li Y, Yan B, Zhou J. A High throughput and energy-efficient retina-inspired tone mapping processor. In Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 321. 8735569. (Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019). doi: 10.1109/FCCM.2019.00062

A High throughput and energy-efficient retina-inspired tone mapping processor

Abstract

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UN SDGs

Keywords

Access to Document

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