An Algorithm for Enhancing Low-Light Images at Sea Based on Improved Dark Channel Priors
Aiming at the problem of halo effect and color distortion in the dark channel priori based low-light image en-hancement algorithm when dealing with images in extreme low-light environment at sea,an adaptive dark channel priori based low-light image enhancement algorithm at sea.Firstly,the images in the dataset are categorized by the selection of image type classification indexes.Then,the regions of the images are obtained by the Otsu method and the distribution of the histograms of the images,the local area maps are obtained by dividing the images by the Otsu method and the image histogram distribution,the relationship between the local area maps of various types of images is analyzed.Finally,differ-ent local area maps are processed with different improved dark channel priori algorithms,two enhanced local area maps of an image are combined,the enhancement results of the whole image are obtained,and the enhanced image is evaluated subjectively and objectively in terms of image quality.The experimental results show that the algorithm solves the prob-lems of halo effect and color distortion of the existing algorithms in processing extreme maritime low-light images,so that the maritime low-light images in different environments can achieve better recovery effects.
dark channel priorslow-light sea image enhancementadaptiveOtsuevaluation of image quality
国家科技期刊平台
NSTL
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