Quantum vision: enhancing low-light images

In a world where capturing images in low-light conditions remains a technical challenge, approaches based on quantum principles are opening new pathways. Inspired by theoretical frameworks such as Data Relativistic Uncertainty (DRU), which treats images as probabilistic wave functions rather than deterministic states, a new generation of image enhancement systems is emerging. This paradigm not only integrates wave-particle duality to model the intrinsic uncertainty of light, but also provides a layer of explainability essential for artificial intelligence. At Q2BSTUDIO, a company specialized in AI for businesses, we apply these advanced concepts in the development of custom applications and custom software that transform noisy visual data into usable information. Our teams integrate artificial intelligence with cybersecurity services to ensure model robustness against adversarial attacks, and we support scalable deployments through AWS and Azure cloud services. Additionally, we offer business intelligence services with Power BI to visualize the performance of these systems, and we develop autonomous AI agents capable of optimizing capture and processing in real time. The convergence of quantum physics and AI not only improves the quality of low-light images but also opens the door to more interpretable and reliable solutions, aligned with the needs of sectors such as surveillance, medicine, or the automotive industry.