Underwater Image Enhancement
Overview
Underwater image enhancement studies how to recover useful color, contrast, and detail from images degraded by wavelength-dependent absorption, scattering, haze, and noise. Methods range from physics-based color and transmission correction to CNNs, Transformers, Mamba models, frequency-domain processing, and lightweight lookup tables; newer work also uses depth, polarization, language, and degradation cues. Researchers evaluate image quality on benchmarks such as UIEB, LSUI, and EUVP, increasingly asking whether enhancement also improves detection, segmentation, retrieval, and consistent 3D reconstruction. A central tension is whether explicit physical models improve real-world reliability or whether learned priors and better data generalize more effectively, especially when paired ground truth is scarce and visual quality can conflict with downstream perception.
Latest papers
38 papers6 papers in the last four weeks, up 100% on the four weeks before. 0.0% of all new papers.