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Photo-Realistic Image Dehazing and Verifying Networks via Complementary Adversarial Learning
Physical model-based dehazing methods cannot, in general, avoid environmental variables and undesired artifacts such as non-collected illuminance, halo and saturation since it is difficult to accurately estimate the amount of the illuminance, light transmission and airlight. Furthermore, the haze mo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471053/ https://www.ncbi.nlm.nih.gov/pubmed/34577388 http://dx.doi.org/10.3390/s21186182 |