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Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II

Research Article

Approximate Computing Based Low Power Image Processing Architecture for Intelligent Satellites

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  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_28,
        author={Zhixi Yang and Rong Lv and Xianbin Li and Jian Wang and Jun Yang},
        title={Approximate Computing Based Low Power Image Processing Architecture for Intelligent Satellites},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II},
        proceedings_a={WISATS PART 2},
        year={2021},
        month={2},
        keywords={Approximate multiplier Approximate adder Low power Real time Image processing Intelligent satellite},
        doi={10.1007/978-3-030-69072-4_28}
    }
    
  • Zhixi Yang
    Rong Lv
    Xianbin Li
    Jian Wang
    Jun Yang
    Year: 2021
    Approximate Computing Based Low Power Image Processing Architecture for Intelligent Satellites
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_28
Zhixi Yang1, Rong Lv2,*, Xianbin Li1, Jian Wang1, Jun Yang2
  • 1: National Innovation Institute of Defense Technology, Academy of Military Science
  • 2: The 63rd Research Institute, National University of Defense Technology
*Contact email: lvrong17@nudt.edu.cn

Abstract

Approximate computing is an innovative circuit paradigm for lower power and real time image processing architecture within an intelligent satellite. Multiplication and addition are often fundamental functions for many image processing applications. Based on previous approximate compressor designs, a recursive type multiplier is first proposed. A reduced gate-level complexity full adder is then proposed. Extensive simulation results show that the proposed designs achieve significant reductions in area, power and delay compared with exact recursive multiplier and adders, as well as other approximate designs found in the technical literature. An image processing application is performed to further show that the performance of the proposed approximate designs for image processing achieves a very good accuracy (measured by the peak signal to noise ratio) as well as substantial reductions in power dissipation and delay.

Keywords
Approximate multiplier Approximate adder Low power Real time Image processing Intelligent satellite
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_28
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