A Hybrid Retinex-Based Algorithm for UAV-Taken Image Enhancement

A hybrid Retinex-based image enhancement algorithm is proposed to improve the quality of images captured by unmanned aerial vehicles (UAVs) in this paper. Hyperparameters employed multi-scale Retinex with chromaticity preservation (MSRCP) model are automatically tuned via a two-phase evolutionary computing algorithm. In optimization algorithm, Rao-2 applied performing global search and solution obtained maximizing objective function. Next, Nelder-Mead simplex method used local search. Real UAV-taken bad collected verify performance Meanwhile, four famous algorithms, Multi-Scale Retinex, Color Restoration, Automated MSRCP utilized as benchmarking methods. two commonly particle swarm flower pollination considered efficiency tuning parameters model. Experimental results demonstrate that achieves best compared benchmarks thus applicable for real UAV-based applications.