Advancements in Real-Time Image Processing Using Kintex and Virtex FPGAs: Enhancing Speed, Efficiency, and Versatility

Image processing is a critical component in various applications, ranging from medical imaging to autonomous systems. This research explores the utilization of high-performance Field Programmable Gate Arrays (FPGAs) such as Kintex and Virtex to enhance image processing capabilities. By leveraging the parallel processing power and reconfigurability of these FPGAs, the study achieves significant improvements in processing speed and efficiency, enabling real-time image analysis and decision-making. This advancement supports the United Nations’ Sustainable Development by enhancing smart city technologies. The implementation of Kintex and Virtex in image processing not only drives innovation but also contributes to building resilient and sustainable infrastructures, thereby promoting well-being and sustainable urban development.

Authors

Institutions

Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/iatmsi64286.2025.10985711
Citations
1
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancements in Real-Time Image Processing Using Kintex and Virtex FPGAs: Enhancing Speed, Efficiency, and Versatility

Vibhor Sharma, Shishir Shrivastava, Rupesh Gupta, Bura Vijay Kumar
1 citations
CCD and CMOS Imaging Sensors
0.73
article

Advancements in Real-Time Image Processing Using Kintex and Virtex FPGAs: Enhancing Speed, Efficiency, and Versatility

Vibhor Sharma, Shishir Shrivastava, Rupesh Gupta, Bura Vijay Kumar
article en
1 citations

Abstract

Image processing is a critical component in various applications, ranging from medical imaging to autonomous systems. This research explores the utilization of high-performance Field Programmable Gate Arrays (FPGAs) such as Kintex and Virtex to enhance image processing capabilities. By leveraging the parallel processing power and reconfigurability of these FPGAs, the study achieves significant improvements in processing speed and efficiency, enabling real-time image analysis and decision-making. This advancement supports the United Nations’ Sustainable Development by enhancing smart city technologies. The implementation of Kintex and Virtex in image processing not only drives innovation but also contributes to building resilient and sustainable infrastructures, thereby promoting well-being and sustainable urban development.

University of New Haven (US), Institute of Engineering (NP), Chitkara University (IN)
Affordable and clean energy
Openalex Percentile: Top 29%
CCD and CMOS Imaging Sensors
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancements in Real-Time Image Processing Using Kintex and Virtex FPGAs: Enhancing Speed, Efficiency, and Versatility — Vibhor Sharma, Shishir Shrivastava, et al. · (2025) | TGRS Research Map | TGRS