Effects of GIMP Retinex Filtering Evaluated by the Image Entropy

TL;DR

This paper investigates optimizing GIMP Retinex filtering parameters for image enhancement by maximizing image entropy, including Shannon and generalized entropy measures, to improve foggy image clarity.

Contribution

It introduces an entropy-based criterion for parameter optimization in GIMP Retinex filtering, comparing Shannon and generalized entropy measures.

Findings

Maximizing image entropy improves foggy image clarity.

Generalized entropy provides better optimization results than Shannon entropy.

Entropy-based parameter tuning enhances image enhancement outcomes.

Abstract

A GIMP Retinex filtering can be used for enhancing images, with good results on foggy images, as recently discussed. Since this filter has some parameters that can be adjusted to optimize the output image, several approaches can be decided according to desired results. Here, as a criterion for optimizing the filtering parameters, we consider the maximization of the image entropy. We use, besides the Shannon entropy, also a generalized entropy.