Smgan: a self-modulated generative adversarial network for single image dehazing

HIGHLIGHTS

• who: SMGAN A self-modulated generative et al. from the Xi'an Research Institute of High-Tech, Xi'an, China have published the article: SMGAN: A self-modulated generative adversarial network for single image dehazing, in the Journal: (JOURNAL)
• what: To solve this problem, the authors propose a self-modulated generative adversarial network for single image dehazing named SMGAN. The authors propose a Refine Module (RM), which combines the channel attention mechanism with the spatial attention mechanism to significantly alleviate color distortion and halos. Note that these guidance images include some over-enhanced regions, especially . . .
  

   

  

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