Research on clear processing of blurry targets in three-dimensional visual ship monitoring images
Real-time monitoring of the surrounding environment is beneficial for enhancing the safety of navigation.Stereo vision technology reconstructs the three-dimensional structure of the target by calculating the disparity between im-ages.However,the construction of three-dimensional visual images heavily relies on image quality.This paper studies dark channel analysis technology and deep neural network technology,analyzes the basic process of image defogging and restora-tion,and proposes a lightweight fog density classifier based on MobileNet V2.It presents the training accuracy and valida-tion accuracy of image classification at different training epochs.Verification experiments are conducted on the clear pro-cessing of blurry targets in three-dimensional visual ship monitoring images,and the results show that the image quality has been significantly improved after the clarification treatment.
NETL
NSTL
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