Through the Real World Haze Scenes: Navigating the Synthetic-to-Real Gap in Challenging Image Dehazing
Shijie Chen,Mohammad Mahdizadeh,Chong Yu,Jiayuan Fan,Tao Chen,Shijie Chen,Mohammad Mahdizadeh,Chong Yu,Jiayuan Fan,Tao Chen
Dehazing real-world hazy images is challenging due to the complexity of natural haze, varying haze conditions, details preservation, and the risk of overexposure. Existing methods excel in synthetic hazy scenarios but struggle in the real world because they don’t use all available features. Classical dehazing techniques primarily focus on low-level dehazing enhancements, whereas deep learning-base...
