Design and Performance Analysis of an 8-3 Approximate Compressor-Based Multiplier for Image Blending Application.

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Title: Design and Performance Analysis of an 8-3 Approximate Compressor-Based Multiplier for Image Blending Application.
Authors: Gupta, Sanjiv Kumar1 (AUTHOR) sanjiv.2019rel04@mnnit.ac.in, Dhawan, Amit1 (AUTHOR) dhawan@mnnit.ac.in, Tiwari, Manish1 (AUTHOR) mtiwari@mnnit.ac.in, Jha, Sumit Kumar1 (AUTHOR) sumit-k@mnnit.ac.in
Source: IETE Journal of Research. Jul2025, Vol. 71 Issue 7, p2441-2452. 12p.
Subjects: Computer arithmetic, Image fusion, Approximation algorithms, Computer performance
Abstract: The need for energy-efficient computer arithmetic systems is growing day by day, and approximate computing is crucial to their design in terms of delay, power, and area for error-resilient systems. This paper introduces a new 3-bit approximate adder, followed by the proposal of a 4-2 approximate compressor using this approximate adder. Subsequently, two 8-3 approximate compressors are designed with the proposed 4-2 approximate compressor and OR-based logic. Finally, two 8-bit approximate Dadda multipliers and higher bit approximate multipliers are designed using the proposed 8-3 approximate compressors. The proposed 8-bit multiplier with the lowest dissipation provides improvements in PADP (power-area-delay product) and ADP (area-delay product) of 86% and 68.25%, respectively, when compared to the exact multiplier. The proposed multiplier's efficacy is assessed in an image-blending application, yielding blended images with average high structural similarity. According to extensive simulation data and figure of merit (FoM), the proposed multipliers architectures are a better option for error-resilient systems than the reported approximate multipliers. [ABSTRACT FROM AUTHOR]
Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Computer+arithmetic%22">Computer arithmetic</searchLink><br /><searchLink fieldCode="DE" term="%22Image+fusion%22">Image fusion</searchLink><br /><searchLink fieldCode="DE" term="%22Approximation+algorithms%22">Approximation algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink>
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  Data: The need for energy-efficient computer arithmetic systems is growing day by day, and approximate computing is crucial to their design in terms of delay, power, and area for error-resilient systems. This paper introduces a new 3-bit approximate adder, followed by the proposal of a 4-2 approximate compressor using this approximate adder. Subsequently, two 8-3 approximate compressors are designed with the proposed 4-2 approximate compressor and OR-based logic. Finally, two 8-bit approximate Dadda multipliers and higher bit approximate multipliers are designed using the proposed 8-3 approximate compressors. The proposed 8-bit multiplier with the lowest dissipation provides improvements in PADP (power-area-delay product) and ADP (area-delay product) of 86% and 68.25%, respectively, when compared to the exact multiplier. The proposed multiplier's efficacy is assessed in an image-blending application, yielding blended images with average high structural similarity. According to extensive simulation data and figure of merit (FoM), the proposed multipliers architectures are a better option for error-resilient systems than the reported approximate multipliers. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/03772063.2025.2487625
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 2441
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      – SubjectFull: Computer arithmetic
        Type: general
      – SubjectFull: Image fusion
        Type: general
      – SubjectFull: Approximation algorithms
        Type: general
      – SubjectFull: Computer performance
        Type: general
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      – TitleFull: Design and Performance Analysis of an 8-3 Approximate Compressor-Based Multiplier for Image Blending Application.
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            NameFull: Tiwari, Manish
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            NameFull: Jha, Sumit Kumar
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            – D: 01
              M: 07
              Text: Jul2025
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              Y: 2025
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