Fast adaptive exposure correction algorithm based on optimal niche

To obtain high-quality imaging data stably under the influence of variable abnormal illumination, a fast adaptive exposure correction algorithm based on optimal niche is proposed in this paper. Firstly, an image sensory quality assessment based on Harr-Wavelet (HW-ISQA) is proposed as an imaging quality assessment indicator to reflect human visual sensory quality objectively. Secondly, an image enhancement algorithm for uneven illumination. Then, an online optimization framework based on the optimal niche can be used to optimize multiple parameters in real-time system. Finally, HW-ISQA is used as the fitness function in the proposed optimization framework to optimize sensitive parameters in the imaging correction our proposed, the imaging quality of various scenes can be improved adaptively, meanwhile, the high-quality video data can be output timely. The performance and efficiency of the algorithm are illustrated by abundant experimental results, while, the superiority and universality of the algorithm in complex scenarios are verified.