Adaptive self-Attention enhanced conditional GAN for image dehazing

Key Points

• The method improves image dehazing efficiency and accuracy, producing clearer images.
• A conditional GAN model with adaptive self-attention achieved significant enhancement in visual quality.
• Assessment involves deep learning techniques to optimize image outputs from haze-affected images.
• Results indicate potential for broader applications in fields requiring high-quality imaging, like satellite imagery.