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Author

Shengkun Yang

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Oct 2026

Image Restoration with Multiplicative Noise: A Hybrid Geometric Model and Its Alternating Minimization Algorithm

Abstract. We propose a variational framework for joint removal of blur and multiplicative noise. While geometric priors effectively capture intrinsic image structure, relying on a single prior often introduces characteristic artifacts. Motivated by the geometric relationship between mean curvature and surface area, an...

Sheng-Kun Yang, Zhi-Chang Guo, Yao Li et al. · 0 citations
Preprint Aug 2026

A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

Experimental results on both grayscale and color image restoration demonstrate that the proposed method consistently outperforms representative model-based approaches while achieving performance comparable to state-of-the-art DEQ models based on implicit regularization, despite requiring substantially fewer trainable p...

Shengkun Yang, Luca Ratti, Zhi-Chang Guo · 0 citations

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