Harpreet Kaur

Papers

Total Citations

343

H-Index

About

Harpreet Kaur is a leading researcher in the field of image processing and computer vision, with a particular focus on image fusion techniques. Her seminal survey, "Image Fusion Techniques: A Survey" (2021), has garnered over 340 citations, establishing her as a key authority in synthesizing multi-modal imaging data for enhanced visual representation and analysis. Kaur’s work systematically categorizes and evaluates fusion algorithms—ranging from pixel-level to feature-level approaches—providing a foundational resource for applications in medical imaging, remote sensing, and surveillance. Beyond this landmark review, her contributions extend to developing robust fusion frameworks that improve image clarity and information extraction, directly impacting diagnostic accuracy and autonomous systems. Recognized for her ability to bridge theoretical advances with practical deployment, Kaur’s research continues to guide both new researchers and seasoned engineers in optimizing image quality and decision-making. Her high citation count underscores the enduring relevance of her insights, making her a pivotal figure in advancing how visual data is integrated and interpreted across critical technologies.