Densely Connected Pyramid Dehazing Network

We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light and dehazing all together. The end-to-end learning is achieved by directly embedding the atmospheric scattering model into the network, thereby ensuring that the proposed method strictly follows the physics-driven scattering model for dehazing... (read more)

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Methods used in the Paper


METHOD TYPE
Convolution
Convolutions
Average Pooling
Pooling Operations
Batch Normalization
Normalization
ReLU
Activation Functions
Pyramid Pooling Module
Semantic Segmentation Modules