ENHANCEMENT OF UNDERWATER IMAGES WITH ARTIFICIAL INTELLIGENCE

10 citations as recorded by crossref.

1. Self-adaptive colour calibration pipeline for deep underwater image restoration: a reference-based evaluation M. Vlachos et al. https://doi.org/10.4995/var.2024.24170
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3. Research and Application on an Intelligent System for Fish Recognition and Monitoring Based on Improved YOLOv8n 新. 刘 https://doi.org/10.12677/csa.2026.162048
4. Underwater image restoration and enhancement: a comprehensive review of recent trends, challenges, and applications Y. Alsakar et al. https://doi.org/10.1007/s00371-024-03630-w
5. Self-Adaptive Colour Calibration of Deep Underwater Images Using FNN and SfM-MVS-Generated Depth Maps M. Vlachos & D. Skarlatos https://doi.org/10.3390/rs16071279
6. A Review of Classical Underwater Image Stitching Techniques and a Dynamic Matching Method for Low-Cost Underwater Robotic Platforms G. Yi et al. https://doi.org/10.1109/ACCESS.2026.3675258
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8. Self-adaptive colour calibration pipeline for deep underwater image restoration: a reference-based evaluation M. Vlachos et al. https://doi.org/10.4995/var.2026.24170
9. Deep Learning Based Panchromatic2RGB Image Generation from VHR Images C. Ünyılmaz et al. https://doi.org/10.53093/mephoj.1587804
10. Underwater Optical Imaging Systems: A Comprehensive Review of Technologies, Architectures and Mission-Driven Design Trade-Offs D. Piromalis et al. https://doi.org/10.3390/s26196127