Image dehazing aims to recover clear images from hazy inputs, crucial for advanced computer vision tasks. While convolutional neural networks (CNNs) have traditionally been used, transformer-based ...

We proposed a convolutional autoencoder with sequential and channel attention (CAE-SCA) to address this issue. Sequential attention (SA) is based on long short-term memory (LSTM), which captures ...