In recent years，neural networks have been widely used in the image dehazing and achieved good results.However， the neural network applied in image dehazing always has a deeper depth and a more complex structure， which is a disadvantage while appling in a embedded system platform. A structure called BP-Net (Block Piled Network)， which is based on the piling basic block structure is proposed. The residual network(ResNet) and the information distillation module of information distillation network are used as the basic block respectively. The perceptual loss is also adopted as the training loss of our network. Testing on the SOTS dataset， the averange PSNR has achieved 33.15 dB while SSIM has achieved 0.977 2. Besides， the number of the basic blocks are also reduced and a good result is achieved.