End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines

1. 1Propose an end-to-end deep learning framework that jointly performs segmentation and dual-mode compression
2. 2Implement a segmentation module to accurately identify blade regions in images
3. 3Use the segmentation output to guide dual-mode compression, preserving high fidelity in blade regions and aggressively compressing the background
4. 4Evaluate the framework's performance on wind turbine inspection images

Computer vision engineers and data scientists on a team can benefit from this research as it provides an efficient solution for image compression in wind turbine inspections, enabling faster defect detection and assessment.

💡 Segmentation guided dual coding can efficiently preserve high fidelity in critical regions while compressing background areas

💡 End-to-end image compression for wind turbine inspections with segmentation guided dual coding