Khalid Iqbal
Papers
1
Total Citations
35
H-Index
1
About
Khalid Iqbal is a prominent researcher in the field of computer vision and image processing, with a specialized focus on underwater imaging. His work addresses the critical challenges of enhancing underwater images, which are often degraded by light absorption, scattering, and color distortion. Iqbal’s major contribution lies in his comprehensive survey, "Underwater images contrast enhancement and its challenges: a survey" (2021), which has garnered 35 citations. This paper systematically reviews existing techniques, identifies key obstacles, and outlines future directions for improving underwater image quality—a vital area for marine biology, underwater robotics, and environmental monitoring. His research bridges the gap between theoretical algorithms and practical applications, offering insights that have influenced subsequent studies in contrast enhancement and restoration. By synthesizing a decade of advancements, Iqbal has provided a foundational resource for researchers tackling the unique visual distortions of aquatic environments. His work underscores the importance of robust preprocessing in autonomous underwater systems and has been recognized for its clarity and depth. Khalid Iqbal continues to drive innovation in this niche yet impactful domain, inspiring new approaches to see clearly beneath the waves.
Research Focus
Key Achievements
Top Papers
- 1Underwater images contrast enhancement and its challenges: a survey35 citations · 2021