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低光照下的图像增强_C++

摘要

当光线不足的条件下拍摄图像时,图像通常会出现低能见度。除了降低图像的视觉美感外,这种低质量还可能显着降低许多计算机视觉和多媒体算法的性能,本算法主要是为高质量输入而设计。在本文中,提出了一种简单而有效的低光图像增强(LIME)方法。首先通过找到R,G和B通道中的最大值来单独估计每个像素的照度。此外,通过在其上施加结构作为最终照明图来细化初始照明图。具有良好构造的照明图,可以相应地实现增强。

We provide a c++ version of low-light enhancement technology, which is helpful for vSLAM and line dect,etc.

Everyone can use it, and stars are necessary.

Related Publications

  • LIME, X. Guo, Y. Li and H. Ling, "LIME: Low-Light Image Enhancement via Illumination Map Estimation," in IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 982-993, Feb. 2017.

Preparation

Clone the code

git clone https://github.com/Quitino/LIME_Process.git

Then build the project

cd LIME_Processing
mkdir build 
cd build 
cmake ..
make

run the project

cd ../bin
./LIME

Result

处理前:

处理后:

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LIME:低光照下图像增强c++代码

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