Pesal Koirala

Papers

Total Citations

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About

Pesal Koirala is a researcher whose work sits at the intersection of spectral imaging and computer vision, with a particular focus on solving the challenging problem of highlight detection and removal. In his most-cited paper, "Highlight detection and removal from spectral image" (2011, 18 citations), Koirala introduced a constrained spectral unmixing method that can separate diffuse and highlight reflections from a single spectral image. By imposing constraints that ensure all reflection fractions sum to one and remain positive, his approach enables more accurate material analysis and surface characterization—a critical capability for applications in remote sensing, industrial inspection, and cultural heritage preservation. While his citation count reflects the specialized nature of his work, the methodological rigor of his contribution has provided a foundation for subsequent advances in spectral image processing. Koirala’s research demonstrates how careful mathematical formulation can solve persistent problems in imaging science, making his work a valuable reference for students and researchers exploring spectral unmixing and reflection separation techniques.