VLSI realisation of an efficient image scalar using Vedic mathematics

A low-complexity algorithm using Vedic mathematics is intended for VLSI realisation of an efficient image scalar. The proposed scalar comprises of a modified area pixel interpolator, edge detector and Vedic multiplier. To decrease the obscuring and aliasing effects created by the area-pixel model and to conserve the image edge features productively an edge catching method is embraced. Moreover, a Vedic division unit is utilised for enhancing execution of the scaling processor without any rounding error correction techniques. It additionally accomplishes advancement at all levels of digital systems reducing power consumption. The proposed architecture is capable to achieve 5.28-K gates count using 200 MHZ, and computation time is 14.37 ns synthesised by 0.13-μm CMOS technology. Through comparison with previous techniques, this work can reduce gate counts by 18% and want only a one-line-buffer memory.

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Publication Details

Journal
International Journal of Advanced Intelligence Paradigms
Published
2025-01-01
DOI
https://doi.org/10.1504/ijaip.2025.147658
Primary Topic
Computability, Logic, AI Algorithms
Type
article
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article

VLSI realisation of an efficient image scalar using Vedic mathematics

Ramadevi Vemula, K. Manjunathachari
International Journal of Advanced Intelligence Paradigms
Computability, Logic, AI Algorithms
article

VLSI realisation of an efficient image scalar using Vedic mathematics

Ramadevi Vemula, K. Manjunathachari
article en

Abstract

A low-complexity algorithm using Vedic mathematics is intended for VLSI realisation of an efficient image scalar. The proposed scalar comprises of a modified area pixel interpolator, edge detector and Vedic multiplier. To decrease the obscuring and aliasing effects created by the area-pixel model and to conserve the image edge features productively an edge catching method is embraced. Moreover, a Vedic division unit is utilised for enhancing execution of the scaling processor without any rounding error correction techniques. It additionally accomplishes advancement at all levels of digital systems reducing power consumption. The proposed architecture is capable to achieve 5.28-K gates count using 200 MHZ, and computation time is 14.37 ns synthesised by 0.13-μm CMOS technology. Through comparison with previous techniques, this work can reduce gate counts by 18% and want only a one-line-buffer memory.

International Journal of Advanced Intelligence ParadigmsVol. 30(3)
GITAM University (IN)
Openalex Percentile: Top 80%
Computability, Logic, AI Algorithms
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VLSI realisation of an efficient image scalar using Vedic mathematics — Ramadevi Vemula, K. Manjunathachari · International Journal of Advanced Intelligence Paradigms (2025) | TGRS Research Map | TGRS