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.
Authors
- Ramadevi Vemula (ORCID: https://orcid.org/0000-0001-5660-6448)
- K. Manjunathachari (ORCID: https://orcid.org/0000-0001-9586-5282)
Institutions
- GITAM University (IN)
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
- Field-Weighted Citation Impact
- 0.00