Underwater exploration, inspection, and marine research increasingly depend on underwater drones equipped with high-resolution RGB-D cameras. However, in deep or turbid waters, light absorption and scattering cause significant color distortion—reds and yellows disappear first—reducing visibility for human operators and degrading the performance of computer vision algorithms used for object detection, mapping, and analysis. Traditional image enhancement methods often fail to account for depth-based color loss and struggle to perform in real time during fast-moving underwater operations.
AI and multimodal sensor fusion advances now enable real-time, depth-aware color correction. Combining RGB-D cameras with deep learning, these models allow subaquatic drones to produce visually clear and scientifically reliable footage in turbid or deep waters.
Conceptual Design
Conceptual Design
AI underwater color correction: Bringing true colors back to the deep
Fluendo’s approach directly integrates a depth-aware AI model into the underwater drone’s onboard video processing pipeline. By utilizing RGB images and depth maps from the RGB-D camera, the system restores the original color spectrum distorted by underwater absorption and scattering..
Our AI models are trained on a wide range of simulated and real underwater datasets, enabling precise estimation of color values based on pixel depth, ambient lighting conditions, and water type. This ensures that reds, yellows, and other wavelengths diminished at depth are accurately reconstructed.
The system delivers real-time, color-corrected video for both live pilot feedback and marine researchers, while also enhancing the performance of downstream computer vision tasks such as object detection, mapping, and inspection in challenging underwater environments.
Conceptual Design
AI underwater color correction: Bringing true colors back to the deep
Fluendo’s approach directly integrates a depth-aware AI model into the underwater drone’s onboard video processing pipeline. By utilizing RGB images and depth maps from the RGB-D camera, the system restores the original color spectrum distorted by underwater absorption and scattering..
Our AI models are trained on a wide range of simulated and real underwater datasets, enabling precise estimation of color values based on pixel depth, ambient lighting conditions, and water type. This ensures that reds, yellows, and other wavelengths diminished at depth are accurately reconstructed.
The system delivers real-time, color-corrected video for both live pilot feedback and marine researchers, while also enhancing the performance of downstream computer vision tasks such as object detection, mapping, and inspection in challenging underwater environments.
The value we deliver: How we boost your business
Product Quality
Restores natural colors to underwater footage for clearer analysis
Cost Reduction
Simplifies hardware design and improves power efficiency to extend drone battery life
Expertise
Shows deep technical knowledge of subsea environments
Information
Provides clearer visual data for scientific and industrial analysis
Product Quality
Restores natural colors to underwater footage for clearer analysis
Cost Reduction
Simplifies hardware design and improves power efficiency to extend drone battery life
Expertise
Shows deep technical knowledge of subsea environments
Information
Provides clearer visual data for scientific and industrial analysis