An image defogging algorithm of a designed-FCMSPCNN for natural image

In order to address the problem of defogging images of foggy scenes, this paper proposes a parameter-tunable image defogging algorithm based on the FC-MSPCNN model (DFC-MSPCNN). Firstly, the proposed model is used to defogger color fogging images. Secondly, we simple four key parameters and one synaptic weight matrix in the model, including α, β, V, Q and Wijkl, and how they are set. Thirdly, our proposed method for image defogging is derived from dark channel theory and retinex theory. Finally, our proposed model in image defogging aspect brings a good image defogging performance than other popular algorithms.