Rakhee S. Saboo
Papers
1
Total Citations
3
H-Index
1
About
Rakhee S. Saboo is a researcher whose work sits at the intersection of image processing and color space analysis, with a particular focus on advancing image fusion techniques. Her most cited paper, "Comparison of image fusion techniques in RGB & Kekre's LUV color space" (2015, 3 citations), provides a systematic evaluation of how different color spaces—specifically the standard RGB and the innovative Kekre's LUV—affect the quality and utility of fused images. This contribution is significant because image fusion is critical for applications ranging from medical imaging and remote sensing to computer vision and military surveillance. By comparing these techniques, Saboo helps practitioners select optimal methods for enhancing image clarity and information extraction. Her work demonstrates a practical, application-oriented approach to solving real-world imaging challenges. While her citation count is modest, her research serves as a foundational reference for those exploring color space transformations in fusion contexts. Saboo’s contributions underscore the importance of methodological rigor in image processing, making her a valuable voice for students and researchers seeking to understand the nuances of fusion in diverse color spaces.
Research Focus
Key Achievements
Top Papers
- 1