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.
- 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.
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
处理前:
处理后: