You can view the full text of this article for free using the link below.

Title: Image analysis in healthcare systems using approximate multi-bit adders

Authors: M. Priyadharshni; Kishore Sanapala; Polinpapilinho F. Katina; K. Prasanna Kumar

Addresses: Department of Electronics and Communication Engineering, Panimalar Engineering College, Poonamalle, Chennai – 600123, India ' Department of Electronics and Communication Engineering, Marri Laxman Reddy Institute of Technology and Management, Hyderabad-500043, India ' Department of Informatics and Engineering Systems, University of South Carolina Upstate, 800 University Way, Spartanburg, SC, 29303, Spartanburg ' Department of Electrical and Computer Engineering, St. Peter's Engineering College, Jawaharlal Nehru Technological University, Hyderabad, Telangana, 500043, India

Abstract: The expenses involved in designing computing systems, especially for the medical services framework, are a significant concern with technological advancements. However, the high cost of administrative waste tends to increase the complexity of digital system design. This paper suggests that high administrative costs can be reduced by reducing the complexity of the arithmetic systems used in the design. The major complexity of the arithmetic systems can be reduced by using approximate adders. In this paper, we have investigated approximate computing in full adders at the hardware phase. A hybrid multi-bit approximate adder (HMBAA) for multiple degrees of approximation is developed using approximate full adders. Hardware, error, and image evaluations for HMBAA are carried out in Synopsys using a 65 nm CMOS standard cell library, and MATLAB is used for error analysis. When compared to the precise adder, the simulation results of the proposed design showed significant improvements and achieved 62%, 23%, and 74% savings in terms of area, delay, and power consumption, respectively.

Keywords: approximate full adders; ripple carry adders; image processing; error analysis; approximate computing; approximate multi-bit adders; image sharpening; structural analysis; hardware; error-tolerant applications.

DOI: 10.1504/IJSSE.2023.129060

International Journal of System of Systems Engineering, 2023 Vol.13 No.1, pp.30 - 49

Received: 21 Feb 2022
Accepted: 21 Apr 2022

Published online: 16 Feb 2023 *

Full-text access for editors Full-text access for subscribers Free access Comment on this article