Meenakshi Sharma
Papers
1
Total Citations
7
H-Index
1
About
Meenakshi Sharma is a researcher specializing in computational imaging and environmental sensing, with a particular focus on fog removal techniques for enhanced visual clarity. Her most cited work, "FEMT: a computational approach for fog elimination using multiple thresholds" (2020, 7 citations), introduces an innovative algorithm that leverages multiple thresholding strategies to effectively reduce fog interference in digital images. This contribution addresses a critical challenge in computer vision, where degraded visibility hampers applications like autonomous navigation and surveillance. Sharma’s approach stands out for its computational efficiency and adaptability to varying fog densities, offering a practical solution for real-time systems. While her citation count reflects a growing interest in her methodology, the work has laid foundational groundwork for further advancements in image dehazing. Her research underscores a commitment to bridging theoretical algorithms with real-world utility, making her a promising voice in the field of image processing and environmental computing.
Research Focus
Key Achievements
Top Papers
- 1