Research on low definition ship image restoration based on visual communication optimization
A low definition ship image restoration method based on visual communication optimization is studied to ad-dress the issue of color visual feature distortion in image restoration.This method extracts pixel two-dimensional features of visual communication information from low definition ship images through frame scanning method;Using a high-resolution ship image reconstruction method based on maximum a posteriori probability,the two-dimensional features of pixels extrac-ted from the visual communication information of low definition ship images are recombined into high-resolution features,and a visual communication optimization restoration method based on visual color models is introduced to optimize the col-or visual communication effect of the reconstructed image after the reconstruction of high-resolution features.Experimental data verification:After the restoration processing of low definition ship monitoring images in sea areas,the visual commu-nication effect of the images is significantly improved,and the peak signal-to-noise ratio and structural similarity index of the restored ship images are close to 1,with small image feature distortion;The maximum value of the color feature saliency in-dex of the restored image reaches 1.0,and the saliency of color feature details is improved.
visual communication optimizationlow definitionship imagesrestoration methodmaximum pos-terior probabilityvisual Color Model
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