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Micro and Nanosystems

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ISSN (Print): 1876-4029
ISSN (Online): 1876-4037

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Research Article

Implementation of a Robust Framework for Low Power Approximate Multiplier Using Novel 3:2 and 4:2 Compressor for Image Processing Applications

Author(s): Garima Thakur, Harsh Sohal and Shruti Jain*

Volume 15, Issue 3, 2023

Published on: 03 November, 2023

Page: [223 - 239] Pages: 17

DOI: 10.2174/0118764029270767231025052434

Price: $65

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Abstract

Background: The technique of approximation allows for a trade-off between accuracy, speed, area use, and power usage. It is essential in applications that can withstand errors because even a modest accuracy loss can have a significant impact on the result.

Methods: In this research, a novel approximate adder and exact 3:2 and 4:2 compressors are used to create a power-efficient approximation multiplier. In order to reduce the partial product while keeping a fair level of accuracy, approximate compressors are used.

Results: The proposed approximate multiplier performs better in terms of LUTs, area, memory usage, and power consumption when compared to state-of-the-art work.

Conclusion: The proposed approximate multiplier is applied to two sets of images for image blending to validate the results. PSNR values of 25.49 dB and 24.7 dB were attained for set 1 and set 2, respectively.

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