We introduce a simple and efficient method to enhance and clarify images. More specifically, we deal with low light image enhancement and clarification of hazy imagery (hazy/foggy images, images containing sand dust, and underwater images). Our method involves constructing an image filter to simulate low-light or hazy conditions and deriving approximate reverse filters to minimize distortions in the enhanced images. Experimental results show that our approach is highly competitive and often surpasses state-of-the-art techniques in handling extremely dark images and in enhancing hazy images. A key advantage of our approach lies in its simplicity: Our method is implementable with just a few lines of MATLAB code.
@article{arxiv.2510.08358,
title = {SPICE: Simple and Practical Image Clarification and Enhancement},
author = {Alexander Belyaev and Pierre-Alain Fayolle and Michael Cohen},
journal= {arXiv preprint arXiv:2510.08358},
year = {2025}
}