Image Defogging Using Guided Filtering

This image defogging code using guided filtering was downloaded from Dr. Kaiming He's homepage. The implementation helps remove haze from images and significantly improves image clarity. Specifically, guided filtering serves as an edge-preserving smoothing technique that maintains important image details while effectively eliminating atmospheric haze. The algorithm works by computing a local linear model between a guidance image and the filtering output, ensuring that edges and fine structures are preserved during the defogging process. Key functions in the implementation include atmospheric light estimation and transmission map calculation, which are optimized through the guided filter to produce natural-looking results. If you're interested in image processing and defogging techniques, I recommend visiting Dr. Kaiming He's homepage to download this guided filtering-based defogging code and experiment with improving your own hazy images. This implementation demonstrates practical application of sophisticated computer vision algorithms for environmental image enhancement. Hope this information proves helpful for your image processing projects!