GS-AGC: An Adaptive Glare Suppression Algorithm Based on Regional Brightness Perception

Authors:
raw_author_name: Pei Li
raw_affiliation_string: School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an 710121, China; Shaanxi Key Laboratory of Intelligent Media Computing and Interaction, Xi’an 710121, China; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an 710121, China; Xi’an Key Laboratory of Big Data and Intelligent Computing, Xi’an 710121, China
raw_author_name: Wangjuan Wei
raw_affiliation_string: School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an 710121, China; Shaanxi Key Laboratory of Intelligent Media Computing and Interaction, Xi’an 710121, China; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an 710121, China; Xi’an Key Laboratory of Big Data and Intelligent Computing, Xi’an 710121, China
raw_author_name: Xiaoying Pan
raw_affiliation_string: School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an 710121, China; Shaanxi Key Laboratory of Intelligent Media Computing and Interaction, Xi’an 710121, China; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an 710121, China; Xi’an Key Laboratory of Big Data and Intelligent Computing, Xi’an 710121, China
raw_author_name: Hao Wang
raw_affiliation_string: Shaanxi Key Laboratory of Intelligent Media Computing and Interaction, Xi’an 710121, China; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an 710121, China; Xi’an Key Laboratory of Big Data and Intelligent Computing, Xi’an 710121, China
raw_author_name: Yuanzhen Mu
raw_affiliation_string: School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an 710121, China; Shaanxi Key Laboratory of Intelligent Media Computing and Interaction, Xi’an 710121, China; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an 710121, China; Xi’an Key Laboratory of Big Data and Intelligent Computing, Xi’an 710121, China

Abstract: Existing algorithms for enhancing low-light images predominantly focus on the low-light region, which leads to over-enhancement of the glare region, and the high complexity of the algorithm makes it difficult to apply it to embedded devices. In this paper, a GS-AGC algorithm based on regional luminance perception is proposed. The indirect perception of the human eye’s luminance vision was taken into account. All similar luminance pixels that satisfied the luminance region were extracted, and adaptive adjustment processing was performed for the different luminance regions of low-light images. The proposed method was evaluated experimentally on real images, and objective evidence was provided to show that its processing effect surpasses that of other comparable methods. Furthermore, the potential practical value of GS-AGC was highlighted through its effective application in road pedestrian detection and face detection. The algorithm in this paper not only effectively suppressed glare but also achieved the effect of overall image quality enhancement. It can be easily combined with the embedded hardware FPGA for acceleration to improve real-time image processing.