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Design of energy-efficient approximate arithmetic circuits for error tolerant medical image processing applications

  • A. Ahilan
    ,
  • A. Albert Raj
    ,
  • Anusha Gorantla
    ,
  • R. Jothin
    ,
  • M. Shunmugathammal
    ,
  • Ghazanfar Safdar
  • PSN College of Engineering and Technology
    ,
  • Anna University
    ,
  • Sri Raghu Engineering College
    ,
  • SRM Institute of Science and Technology
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well
  • SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Abstract

Medical image processing encompasses the use and investigation of human body image collections, usually from a Computed Tomography (CT) to diagnose pathologies for disease detection. Energy efficiency is one of the key parameters in the design of very large-scale integrated circuits. For more power consuming circuits, the traditional methodologies deal with limited approaches. In recent years, approximate computing techniques improve the design metrics power, delay, and area with a limitation on accuracy. High performance computing and Error tolerant applications are preferred to implement Approximation techniques. Many multimedia applications, such as digital image and video processing, can introduce minor errors in the processed output. For these applications, approximate computational approach offers good performance in terms of low power consumption at a trade-off of accuracy. This is best suited for arithmetic circuits. Several improved versions of Approximate adders (PAA_s) and Approximate Subtractors (APSC8-APSC10) have been proposed in this paper for basic operations. Based on these designs, multipliers and dividers have developed and also performance is compared with previous designs. The proposed designs achieve a better peak signal-to-noise ratio (PSNR).

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 679-692 (14 pages)

Publication milestones

  • Published - 24/02/2024

Publication status

Published - 24/02/2024

Volume

1116

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Lecture Notes in Electrical Engineering
    ISSN (Print): 1876-1100
    ISSN (Electronic): 1876-1119
    Volume: 1116

ISBN (Print)

9789819986453

External Publication IDs

  • handle.net: 10547/626875
  • Scopus: 85187781191

Host publication title

Emergent Converging Technologies and Biomedical Systems: Select Proceedings of the 3rd International Conference, ETBS 2023

Host publication editors

  • Shruti Jain
  • Nikhil Marriwala
  • Pushpendra Singh
  • C.C. Tripathi
  • Dinesh Kumar

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