AUTHOR=Tiwari Naveen Kumar , Bajpai Abhishek , Yadav Shashank , Bilal Anas , Darem Abdulbasit A. , Sarwar Raheem , Singh Jaibir TITLE=DM-AECB: a diffusion and attention-enhanced convolutional block for underwater image restoration in autonomous marine systems JOURNAL=Frontiers in Marine Science VOLUME=Volume 12 - 2025 YEAR=2025 URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2025.1687877 DOI=10.3389/fmars.2025.1687877 ISSN=2296-7745 ABSTRACT=IntroductionEffective underwater vision is critical for real-time marine ecosystem observation and conservation, especially for autonomous underwater vehicles (AUVs) operating in challenging oceanic environments.MethodsWe propose a novel underwater image enhancement framework tailored for smart robotic systems used in biodiversity monitoring, habitat mapping, and environmental sensing. Our method integrates a Denoising Diffusion Probabilistic Model (DDPM) for progressive image restoration with an Attention-Enhanced Convolutional Blocks (AECB) augmented Transformer backbone. The AECB modules provide dual channel and spatial attention, selectively amplifying features to enhance visual quality. Additionally, a lightweight architecture combined with a skip-sampling strategy is designed to optimize computational efficiency for onboard deployment in AUVs and underwater drones.ResultsExperimental evaluations demonstrate that our framework achieves superior image restoration performance while maintaining computational efficiency, outperforming existing transformer-diffusion approaches. The dual attention mechanism within AECB modules distinctly improves the clarity and detail of underwater images.DiscussionThis work advances AI-driven perception systems for intelligent ocean observation technologies, supporting improved marine biodiversity protection. The proposed model promises practical real-time applications in autonomous underwater exploration and monitoring. The model and code will be made publicly available on GitHub: https://github.com/ntiwari91/DM-AECB.