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Cheng-Hsiung Hsieh

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Open access Aug 2026

A Training-Free Adaptive Low-Light Image Enhancement Framework via Decoupled HSV Optimization and Dual-IQA Guidance

This study introduces a training-free, self-contained adaptive low-light image enhancement (LLIE) framework driven by a metaheuristic optimization algorithm (MOA) and a context-aware dual image quality assessment (IQA) engine. Although deep-learning-based methods exhibit rapid inference, their static parameters often s...

Cheng-Hsiung Hsieh, Xin-Rui Lin · 0 citations
Open access Jul 2026

An Adaptive Low-Light Image Enhancement Framework via Metaheuristic-Optimized Inverted Dehazing and Gamma Correction with Global Limits

Quantitative and qualitative evaluations demonstrate that the proposed physics-inspired optimization framework achieves the leading overall cross-dataset aggregate ranking (R¯=2.467) across diverse evaluation environments due to its per-image dynamic solution space mapping.

Cheng-Hsiung Hsieh, Xin-Rui Lin, Chia-Hsin Cheng et al. · 0 citations

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