AMSFF-Net: Attention-Based Multi-Stream Feature Fusion Network for Single Image Dehazing

•AMSFF-Net has ability to pay more attention to the informative features at different multi-stream resolution levels using pixel attention mechanism.•AMSFF-Net has ability to capture semantic information and sharp textural details from the extracted features and retain high-quality image from coarse-to-fine using mixed-convolution attention mechanism.•A sharp image can be recovered by the good kernel estimation. Mixed convolution attention mechanism highlights the task-relevant features and retain the dehazed images with sharp texture details and more vibrant colors.•Deep semantic loss highlights the boundary information and the spatial correlation in the deep features.