Computer-aided Selection of the Optimal Gamma Correction Parameter for Image Enhancement in Video Analytics Systems

Abstract

Video analytics systems are rapidly evolving, and the effectiveness of their work depends on the quality of operations at the initial level of the entire processing process, namely the quality of segmentation of objects in the scene and their recognition. Successful performance of these procedures is primarily due to image quality, which depends on many factors: technical parameters of video sensors, low or uneven lighting, changes in lighting levels of the scene due to weather conditions, time changes in illumination, or changes in scenarios in the scene. A novel method for determining the optimal value of a gamma correction parameter, which ensures the selection of the image of the best quality in automatic mode is represented in the paper. The method is based on the use of gamma correction, which reflects properties of a human visual system, effectively reduces the negative impact of changes in scene illumination and due to simple adjustment and effective implementation is widely used in practice. The technique of selection in an automatic mode of the optimum value of the gamma parameter at which the corrected image reaches the maximum quality is developed.