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.

翻译：本文提出了一种简单高效的图像增强与清晰化方法。具体而言，我们主要处理低光照图像增强以及雾霾图像（包括雾天/雾霾图像、含沙尘图像及水下图像）的清晰化问题。该方法通过构建图像滤波器来模拟低光照或雾霾条件，并推导近似逆滤波器以最小化增强图像中的失真。实验结果表明，本方法在处理极暗图像和增强雾霾图像方面具有高度竞争力，且往往优于现有先进技术。本方法的一个关键优势在于其简洁性：仅需数行MATLAB代码即可实现。