A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement
In this work, a biological retina inspired tone mapping processor for high-speed and energy-efficient image enhancement has been proposed. To achieve high throughput and high energy efficiency, several hardware design techniques have been proposed, including data partition based parallel processing...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/19/5600 |
| _version_ | 1797552252139864064 |
|---|---|
| author | Xiaoqiang Xiang Lili Liu Luying Que Conghan Jia Bo Yan Yongjie Li Jinhong Guo Jun Zhou |
| author_facet | Xiaoqiang Xiang Lili Liu Luying Que Conghan Jia Bo Yan Yongjie Li Jinhong Guo Jun Zhou |
| author_sort | Xiaoqiang Xiang |
| collection | DOAJ |
| description | In this work, a biological retina inspired tone mapping processor for high-speed and energy-efficient image enhancement has been proposed. To achieve high throughput and high energy efficiency, several hardware design techniques have been proposed, 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. Implemented on a Xilinx’s Virtex7 FPGA, the proposed design achieves a high throughput of 189 frames per second for 1024 × 768 RGB images while consuming 819 mW. Compared with several state-of-the-art tone mapping processors, the proposed design shows higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained image enhancement applications. |
| first_indexed | 2024-03-10T15:57:21Z |
| format | Article |
| id | doaj.art-edb462152dcf4805971c624374f7ec3c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:57:21Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-edb462152dcf4805971c624374f7ec3c2023-11-20T15:36:22ZengMDPI AGSensors1424-82202020-09-012019560010.3390/s20195600A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image EnhancementXiaoqiang Xiang0Lili Liu1Luying Que2Conghan Jia3Bo Yan4Yongjie Li5Jinhong Guo6Jun Zhou7School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, ChinaIn this work, a biological retina inspired tone mapping processor for high-speed and energy-efficient image enhancement has been proposed. To achieve high throughput and high energy efficiency, several hardware design techniques have been proposed, 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. Implemented on a Xilinx’s Virtex7 FPGA, the proposed design achieves a high throughput of 189 frames per second for 1024 × 768 RGB images while consuming 819 mW. Compared with several state-of-the-art tone mapping processors, the proposed design shows higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained image enhancement applications.https://www.mdpi.com/1424-8220/20/19/5600retinatone mapping processorhigh throughputenergy-efficient |
| spellingShingle | Xiaoqiang Xiang Lili Liu Luying Que Conghan Jia Bo Yan Yongjie Li Jinhong Guo Jun Zhou A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement Sensors retina tone mapping processor high throughput energy-efficient |
| title | A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement |
| title_full | A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement |
| title_fullStr | A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement |
| title_full_unstemmed | A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement |
| title_short | A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement |
| title_sort | biological retina inspired tone mapping processor for high speed and energy efficient image enhancement |
| topic | retina tone mapping processor high throughput energy-efficient |
| url | https://www.mdpi.com/1424-8220/20/19/5600 |
| work_keys_str_mv | AT xiaoqiangxiang abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT lililiu abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT luyingque abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT conghanjia abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT boyan abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT yongjieli abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT jinhongguo abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT junzhou abiologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT xiaoqiangxiang biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT lililiu biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT luyingque biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT conghanjia biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT boyan biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT yongjieli biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT jinhongguo biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement AT junzhou biologicalretinainspiredtonemappingprocessorforhighspeedandenergyefficientimageenhancement |