ViTDehazer: A Vision Transformer-Based Approach for Effective Image Dehazing

Dehazing is a crucial task in various applications, particularly in Surveillance, where clear visibility is essential for effective monitoring. This work proposes a model, ViTDehazer which leverages the power of Vision Transformer and Fusion Module to effectively remove haze from single images. This work experimentally evaluate our proposed model by comparing with few base models. These experimental results shows that our proposed model performs well compared to the base models in terms of PSNR and SSIM. Proposed model achieves PSNR and SSIM values of 25.76 and 0.85, respectively.