GLHAB-DNet: Gray-Level Co-occurrence Matrix and Haze-Aware Attention Block Dehazing Network

Requirements and Dependencies

• Ubuntu 22.04, cuda 11.3 or windows10 ,cuda 11.3
• Python 3.8, Pytorch 1.12.0, torchvision 0.13.0

Prepare Datasets

The dataset we use is a public dataset and can be downloaded through the following link： BeDDE. MRFID. RW_Haze.

Testing pipelines

You need to download the testing dataset and decompress it.

The code will be announced after employment