An unpaired low light color image enhancement method for uneven illumination
In order to improve the enhancement effect of low light color images in uneven illumination environments,solve the problem of color distortion in color image enhancement processing,and improve the quality of subsequent image processing,this paper proposes a low light color image enhancement method for uneven illumination.Create a deep learning network model based on multi condition fusion by constructing a non paired low light image enhancement framework.By utilizing the rendering network and enhancement network in a non paired framework to loop through,depth information,color maps,and noise maps are used as conditional guidance,ultimately achieving enhancement processing of low light color images.Compared with existing experimental methods,this method can achieve ideal results in both color correction and contrast enhancement for low light color images under uneven illumination.
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