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Research On Real-time Clear Technology Of Sea Sky Based On DSP

Posted on:2019-01-15Degree:MasterType:Thesis
Country:ChinaCandidate:X Y XiaoFull Text:PDF
GTID:2428330563499125Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
In the process of maritime patrol and naval warfare,due to the influence of the reflection of water mist,sea waves scattering and low illumination of sea sky background,it often makes the imaging device to take photos with the fuzzy and the objects lacking of details,which has a serious impact on the identification and tracking of marine targets.Therefore,it is of great significance to make real-time and clear processing of sea sky images.First of all,this paper has researched the implementation of the traditional algorithm of dark channel prior to fog removal,which based on analyzing the imaging characteristics of degraded images in fog.In order to overcome the shortcomings that the dark channel fog algorithm fail to identify whether the image has fog,the large area distortion of the sky area after processing and the poor real-time performance.An improved algorithm which combines the semi inverse image,sky region segmentation and luminance regulation is used to automatically achieve fog region detection alongside optimization of sky regions.Then,based on the analysis of the image quality of the degraded image under low illumination,the implementation process of the Retinex algorithm with better enhancement effect is studied in detail.In order to overcome the defects such as color distortion,excessive contrast enhancement,poor real-time performance and serious loss of edge information after processing of the Retinex series enhancement algorithms,An improved algorithm based on HSV space combining guidance filter and color recovery function optimization is used to remarkably improve the sharpening effect of image.Finally,a video processing system based on DM6446 is built,and the clearing algorithm is transplanted to DM6446 with code and algorithm optimized.The experimental results show that the algorithm can meet the real-time requirement of 20 frames per second for the image with resolution of 768×576 on the DSP platform.
Keywords/Search Tags:Image sharpening, Foggy region detection, Dark channel prior theory, Retinex, DM6446
PDF Full Text Request
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