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Unsupervised water scene dehazing network using multiple scattering model
2021
PLoS ONE
In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are difficult to collect, many dehazing methods are not as effective as they could be. Therefore, an unsupervised water scene dehazing network using atmospheric multiple scattering model is proposed. Unlike previous image dehazing methods, our method uses the unsupervised neural network and the atmospheric multiple scattering model and solves the problem of difficult acquisition of ideal datasets and
doi:10.1371/journal.pone.0253214
pmid:34181688
pmcid:PMC8238221
fatcat:3osk4bzal5gadacymqw7sgpuou