AI RESEARCH
EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
arXiv CS.CV
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ArXi:2603.15887v1 Announce Type: new Traditional Image Quality Assessment (IQA) metrics typically fall into one of two extremes: rigid, hand-crafted mathematical models or "black-box" deep learning architectures that completely lack interpretability. To bridge this gap, we propose EvoIQA, a fully explainable symbolic regression framework based on Genetic Programming that Evolves explicit, human-readable mathematical formulas for image quality assessment