Retinex filtering of foggy images: generation of a bulk set with selection and ranking

TL;DR

This paper proposes a method using GIMP Retinex filtering to enhance foggy images, generating and automatically selecting the best images from a set based on parameter adjustments and ranking criteria.

Contribution

It introduces a novel approach for automatic selection and ranking of enhanced images using GIMP Retinex filters with parameter optimization.

Findings

Generated a bulk set of filtered images for foggy scenes

Developed a preliminary method for selecting and ranking images

Demonstrated potential for automatic enhancement of foggy images

Abstract

In this paper we are proposing the use of GIMP Retinex, a filter of the GNU Image Manipulation Program, for enhancing foggy images. This filter involves adjusting four different parameters to find the output image which has to be preferred according to some specific purposes. Aiming to obtain a processing, which is able of choosing automatically the best image from a given set, we are proposing a method for the generation a bulk set of GIMP Retinex filtered images and a preliminary approach for selecting and ranking them.