Haze Density Estimation via Modeling of Scattering Coefficients of Iso-depth Regions

TL;DR

This paper presents a novel haze density estimation framework that models scattering coefficients of iso-depth regions, providing a practical and robust way to measure haze levels using vision-based methods.

Contribution

It introduces the normalized scattering coefficient (NSC) metric and a method for iso-depth region detection and measurement, improving haze density estimation accuracy.

Findings

Effective haze density measurement with reference scales

Robust predictions in outdoor scenarios

Utilizes superpixel segmentation and dark SP selection

Abstract

Vision based haze density estimation is of practical implications for the purpose of precaution alarm and emergency reactions toward disastrous hazy weathers. In this paper, we introduce a haze density estimation framework based on modeling of scattering coefficients of iso-depth regions. A haze density metric of Normalized Scattering Coefficient (NSC) is proposed to measure current haze density level with reference to two reference scales. Iso-depth regions are determined via superpixel segmentation. Efficient searching and matching of iso-depth units could be carried out for measurements via unstationary cameras. A robust dark SP selection method is used to produce reliable predictions for most out-door scenarios.