仅用几行MATLAB代码，即可有效提升暗光与雾霾图像清晰度。
SPICE: Simple and Practical Image Clarification and Enhancement
- 构建模拟退化条件的图像滤波器，反向推导增强策略。
- 在极暗与雾霾图像上优于主流方法，效果显著。
- 代码极简，适合快速部署与教学演示。
我们提出一种简单高效的图像增强与清晰化方法，针对低光照图像以及雾霾、沙尘和水下等模糊图像。通过构建模拟低光或雾霾条件的图像滤波器，并推导近似逆滤波器以最小化增强后的失真。实验表明，该方法在处理极暗图像和雾霾图像方面表现优异，常超越当前最先进的技术。其核心优势在于极简性：仅需数行MATLAB代码即可实现。
原文摘要 · Abstract (English)
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.
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