High-Brightness Image Enhancement Algorithm

Abstract

In this paper, we introduce a tone mapping algorithm for processing high-brightness video images. This method can maximally recover the information of high-brightness areas and preserve detailed information. Along with benchmark data, real-life and practical application data were taken to test the proposed method. The experimental objects were license plates. We reconstructed the image in the RGB channel, and gamma correction was carried out. After that, local linear adjustment was completed through a tone mapping window to restore the detailed information of the high-brightness region. The experimental results showed that our algorithm could clearly restore the details of high-brightness local areas. The processed image conformed to the visual effect observed by human eyes but with higher definition. Compared with other algorithms, the proposed algorithm has advantages in terms of both subjective and objective evaluation. It can fully satisfy the needs in various practical applications.

Images’ features and Airbnb listing price: the mediation effect of visual aesthetic perception

“…Based on the theory of visual perception, vivid and realistic emotions are elicited by contrasting elements with high brightness and sharp edges, whereas low brightness contrasts and blurred edges evoke fantasies (Zhang et al, 2016b). High-brightness stimuli elicit visual stimulation as they are preferred by individuals (Wei et al, 2021). Moreover, appropriate brightness levels contribute to the accurate display of information, exerting a powerful and consistent influence on mood (Dong et al, 2015).…”