Authors:
Takeharu Kondo
;
Fumihiko Sakaue
and
Jun Sato
Affiliation:
Nagoya Institute of Technology, Nagoya 466-8555 and Japan
Keyword(s):
Anti-glare, Windshield, Transmittance, GAN.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Entertainment Imaging Applications
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
Abstract:
In this paper, we introduce a new method for enhancing the visibility of human vision. In particular we propose a method for avoiding glare caused by strong incident light, such as sunlight and headlight of oncoming vehicles, in driving situations. Our method controls the transmittance of incident light pixel by pixel according to the power of the incident light. For computing the transmittance of light efficiently from camera images, we propose a leaning based method utilizing a generative adversarial network (GAN). By using our method, the visibility of drivers can be improved drastically, and objects in dark place become visible even under strong backlight, such as sunlight and headlight of oncoming vehicles.