A real fog and haze image defogging method based on a haze degradation model

Abstract

This invention discloses a method for dehazing realistic haze images based on a haze degradation model, comprising the following steps: constructing a haze degradation model that integrates multiple scattering effects and various image degradation factors; using the haze degradation model, constructing a training dataset containing clear images and corresponding pseudo-haze images; constructing a dehazing network for real haze scenes; training the dehazing network using the training dataset until a pre-set loss function converges; inputting the image to be dehazed into the trained dehazing network to obtain the dehazing result. The haze degradation model constructed in this invention effectively alleviates the difference between the synthetic and real domains; the designed spatial-frequency hybrid module enhances the model's adaptability to complex degradation features; and the prior-guided feedforward network fully mines and integrates prior information from dark channels, effectively enhancing the model's perception and modeling capabilities for haze regions.

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