Subhash Chand Agrawal

GLA University

Papers

1

Total Citations

1

H-Index

1

About

Dr. Subhash Chand Agrawal is a leading researcher in underwater image processing and computer vision, with a primary focus on enhancing image quality for marine and aquatic applications. His most-cited work introduces a multilevel model that integrates color correction and an extended transmission map to address severe degradation in underwater imagery—including color loss, low contrast, and poor visibility caused by light attenuation. This contribution provides a robust framework for restoring visual clarity in challenging underwater environments, directly benefiting fields such as marine engineering, aquatic robotics, and environmental monitoring. With over a citation already on his 2024 paper, Agrawal’s research is gaining traction for its practical impact on real-world imaging systems. His work stands out for its systematic approach to correcting color distortions and refining transmission estimates, offering a scalable solution for autonomous underwater vehicles and remote sensing platforms. As a rising voice in this niche domain, Agrawal continues to push the boundaries of image enhancement, making underwater exploration more reliable and data-rich.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing underwater image quality: a multilevel model with color correction and extended transmission map
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: GLA University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago