吉林大学学报(理学版)
吉林大學學報(理學版)
길림대학학보(이학판)
JOURNAL OF JILIN UNIVERSITY(SCIENCE EDITION)
2014年
3期
525-530
,共6页
王永虎%管庆吉%李劲松%齐妙
王永虎%管慶吉%李勁鬆%齊妙
왕영호%관경길%리경송%제묘
图像去雾%双边滤波%自适应中值滤波%四叉树分解
圖像去霧%雙邊濾波%自適應中值濾波%四扠樹分解
도상거무%쌍변려파%자괄응중치려파%사차수분해
image dehazing%bilateral filtering%adaptive median filter%quad-tree subdivision
基于Tarel方法提出一种新的基于滤波的单幅图像去雾方法。先利用双边滤波求出初始的大气散射光,较好地保持了边缘平滑纹理;再利用自适应中值滤波器进一步求得边缘清晰、纹理平滑、景深信息真实的大气散射光;然后基于分层搜索的四叉树分解方法求得大气光;最后,依据雾天退化模型得到复原的图像。与经典去雾算法对比结果表明,使用该方法复原的图像更接近真实图像,特别对于纹理较丰富的区域和远景区域去雾效果更明显。
基于Tarel方法提齣一種新的基于濾波的單幅圖像去霧方法。先利用雙邊濾波求齣初始的大氣散射光,較好地保持瞭邊緣平滑紋理;再利用自適應中值濾波器進一步求得邊緣清晰、紋理平滑、景深信息真實的大氣散射光;然後基于分層搜索的四扠樹分解方法求得大氣光;最後,依據霧天退化模型得到複原的圖像。與經典去霧算法對比結果錶明,使用該方法複原的圖像更接近真實圖像,特彆對于紋理較豐富的區域和遠景區域去霧效果更明顯。
기우Tarel방법제출일충신적기우려파적단폭도상거무방법。선이용쌍변려파구출초시적대기산사광,교호지보지료변연평활문리;재이용자괄응중치려파기진일보구득변연청석、문리평활、경심신식진실적대기산사광;연후기우분층수색적사차수분해방법구득대기광;최후,의거무천퇴화모형득도복원적도상。여경전거무산법대비결과표명,사용해방법복원적도상경접근진실도상,특별대우문리교봉부적구역화원경구역거무효과경명현。
This paper introduces a novel single image dehazing method based on filters.Firstly,in order to maintain a good edge smooth texture,the initial atmospheric scattering light is estimated via bilateral filtering.Then,the initial atmospheric scattering light is refined via the adaptive median filter to keep sharp edges,smooth texture,and actual depth information.Next,the atmospheric light is obtained by the hierarchical searching method of quad-tree subdivision.Finally,the dehazed image is restored by solving the atmosphere attenuation model.Compared with the results obtained by several existing classical dehazing methods,the experimental results show that the dehazed image by our proposed method is closer to the real scene image.Especially,it exhibits obvious superiority in dehazing regions with rich texture and distant scene.