Author

Li-Heng Wang

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Oct 2026

Efficient image denoising via green AI

Image denoising aims to restore clean, high-fidelity visual structures from noisy inputs. Although deep learning (DL) approaches have dominated state-of-the-art benchmarks, they often incur heavy computational overhead, massive parameter counts, and a lack of mathematical transparency. To tackle these limitations, we p...

Li-Heng Wang, Yi-Xing Wu, Wei Wang et al. · Applications of Digital Imag... · 0 citations

Conference Aug 2026

Edge Computing with Green Super-Resolution

Image Super-Resolution (SR) aims to recover high-fidelity details from low-resolution inputs. It is a task inherently challenging due to its ill-posed, one-to-many mapping nature. Although deep learning (DL) approaches have achieved state-of-the-art performance, they often incur high computational overhead and lack mat...

Li-Heng Wang, Yi-Xing Wu, Wei Wang et al. · Conference on Multimedia Inf... · 0 citations