An Exploration of State-of-Art Approaches on Low-Light Image Enhancement Techniques

Image processing is the method of converting an image into a digital format and applying specific operations to it in order to extract some valuable information. Image processing is the backbone of many computer vision applications. Image acquisition is the initial step in this procedure. Image acquisition is the process of capturing images of the external environment. Low-light images are those that have been captured when the light intensity of the surrounding environment is low. The performance of different real-time applications will be impacted by this low-light situation. The enhancement techniques are used to improve the low-light image quality. The enhancement methods are applied to those images to get a better visual effect. In robot vision, surveillance, underwater image enhancement, haze removal and other applications, low-light image enhancement is used. This paper presents a detailed survey on the different low-light image enhancement techniques.