Image-enhanced Generative Model for Industrial Scanning Acoustic Super-resolution in Non-destructive Testing
Published in Engineering Applications of Artificial Intelligence (IF = 9.0), 2025
This paper introduces an image-enhanced generative model for industrial scanning acoustic super-resolution in non-destructive testing. The method combines generative modeling with image enhancement to improve acoustic image resolution and inspection reliability.
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Abstract
We propose a novel generative framework for scanning acoustic microscopy that enhances acoustic image quality and resolution using image-based guidance. Our approach improves defect detection performance in industrial non-destructive testing while preserving the fine structural details of acoustic images.
Key Contributions
- Developed an image-enhanced generative model targeted at acoustic super-resolution
- Demonstrated improved resolution and inspection quality for industrial scanning acoustic data
- Validated the method in non-destructive testing scenarios with practical relevance
Recommended citation: Nguyen, Trong Nhan, et al. "Image-enhanced generative model for industrial scanning acoustic super-resolution in non-destructive testing." *Engineering Applications of Artificial Intelligence* 162 (2025): 112500.