IMAGE PROCESSING, PATTERN RECOGNITION

Method for removing haze from images, captured under a wide range of lighting conditions

A. I. Filin, A. V. Kopylov, I. A. Gracheva

Laboratory of Cognitive Technologies and Simulation Systems, Tula State University

Abstract: The presence of haze on images degrades the quality of perception and automatic analysis of scenes. One of the most popular methods of haze removal is the dark channel prior method, which is based on the Koschmieder atmospheric scattering model. However, its underlying assumptions are not met for nighttime, since localized light sources make a significant, if not the main, contribution to lighting. We propose here to use the degree of belonging of an image element to a localized light source, determined based on a one-class classifier, as a value that characterizes the confidence of the corresponding element of the estimated transmission map during its rectification based on the gamma-normal model, which makes it possible to increase the accuracy of dehazing when processing images, captured in low-light or nighttime conditions.

Keywords: haze removal, image restoration, dark channel prior, transmission map, point-light source, low-light conditions

Received: 29.05.2023
Accepted: 25.08.2023

Language: English

DOI: 10.18287/2412-6179-CO-1361