Abstract
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.
Abstract (translated)
我们介绍了一种简单且高效的图像增强和清晰化方法。具体来说，该方法针对低光环境下的图像增强以及雾天、沙尘天气及水下等模糊场景中的图像清晰化问题进行了研究。我们的方法包括构建一个图像滤镜来模拟低光照或有雾的条件，并推导出近似的逆向滤镜以最小化在增强后的图像中产生的失真。实验结果表明，与现有的先进技术相比，该方法在处理极其黑暗的图像以及提升模糊图像质量方面表现出了极强的竞争性且往往更胜一筹。我们方法的一大优势在于其简洁性：仅需几行MATLAB代码即可实现我们的算法。
URL
https://arxiv.org/abs/2510.08358
