Quantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement
This study provides a theoretical expansion of the recent Data Relativistic Uncertainty (DRU) framework by formalizing a physics-to-AI paradigm for image enhancement. By modeling images as probabilistic wave functions rather than deterministic states, the paradigm explicitly integrates wave-particle duality to illustrate the system flow of how DRU leverages the intrinsic physical uncertainty of light, a dimension requiring further theoretical discussion. Consequently, this paradigm provides a rigorous Explainable AI (XAI) approach that enhances the interpretability of how DRU mitigates illumination bias and maintains robustness against data noise.
| Authors | Yiquan Gao |
|---|---|
| Primary category | eess.IV |
| Published | 2 July 2026 |
| Last updated at source | 2 July 2026 |
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