Compact Single Image Dehazing Network

In the previous chapter, the unsupervised image dehazing method was explained, which deals with over-saturation challenges. This chapter delves into a detailed exploration of the Compact Single Image Dehazing Network (CSIDNet) as an effective solution for enhancing outdoor scenes through deep learning-based single image dehazing. CSIDNet outperforms various state-of-the-art dehazing models and also establishes itself as a compact model with minimal resource requirements. The enhanced scene images produced by CSIDNet successfully strike a balance between speed and accuracy. The chapter presents the results of CSIDNet highlighting the potential application of CSIDNet in critical and real-time scenarios.