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Author

Maham Mehr

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Open access 2026

Towards Effective Noise Removal and Visual Enhancement Using CILA-SegNet for Color Casting and Illumination Distortions in Underwater Images

A deep learning based framework using MSRCC-Net by adding Adaptive Feature Decoupling Module (AFDM) and Hierarchical Feature Encoder (HFE) as novelty to correct color imbalance while simultaneously normalizing illumination variations and produces visually coherent, high-quality underwater images suitable for real-world operational use.

Ishmal Nayab, M. Umair, Maham Mehr et al. · 0 citations