S. Manochitra
Papers
1
Total Citations
20
H-Index
1
About
Dr. S. Manochitra is a researcher specializing in computer vision and underwater image processing, with a particular focus on enhancing image quality in challenging aquatic environments. Her most notable contribution is the development of the "CNN based color balancing and denoising technique for underwater images" (CNN-CBDT), published in 2023, which has garnered 20 citations. This work addresses critical challenges in underwater image analysis, such as color distortion and blurring caused by light scattering in water. By leveraging convolutional neural networks, Dr. Manochitra's technique offers a robust solution for restoring underwater images, improving clarity and color accuracy for applications in marine biology, underwater robotics, and environmental monitoring. Her research advances the field of image restoration, providing a foundation for future innovations in underwater vision systems. Dr. Manochitra's work is particularly impactful for students and researchers exploring deep learning applications in degraded imaging conditions, demonstrating how neural networks can overcome physical limitations of aquatic environments.
Research Focus
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Top Papers
- 1