计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
2期
241-243,245
,共4页
图像去雾%大气散射模型%暗通道%颜色通道%景深%双边滤波
圖像去霧%大氣散射模型%暗通道%顏色通道%景深%雙邊濾波
도상거무%대기산사모형%암통도%안색통도%경심%쌍변려파
image defogging%atmospheric scattering model%dark channel%color channel%field depth%bilateral filtering
在雾、霾天气条件下,由于大气粒子的散射作用导致采集的图像质量严重下降,给计算机视觉系统成像带来极大不便。针对上述问题,提出一种基于景深的单幅图像快速去雾算法。通过暗通道对图像处理,得到图像传输图,从而简化大气散射模型,利用景深信息估计大气散射模型,得到边缘突变景深关系比,通过近水平方向上的景深关系比值优化传输图,利用双边滤波对景物边缘进行处理。从3个颜色通道出发,降低波长对景深估计的影响。实验结果证明,该算法能够恢复景物边缘的细节对比度,有效提高图像的清晰度与视见度。
在霧、霾天氣條件下,由于大氣粒子的散射作用導緻採集的圖像質量嚴重下降,給計算機視覺繫統成像帶來極大不便。針對上述問題,提齣一種基于景深的單幅圖像快速去霧算法。通過暗通道對圖像處理,得到圖像傳輸圖,從而簡化大氣散射模型,利用景深信息估計大氣散射模型,得到邊緣突變景深關繫比,通過近水平方嚮上的景深關繫比值優化傳輸圖,利用雙邊濾波對景物邊緣進行處理。從3箇顏色通道齣髮,降低波長對景深估計的影響。實驗結果證明,該算法能夠恢複景物邊緣的細節對比度,有效提高圖像的清晰度與視見度。
재무、매천기조건하,유우대기입자적산사작용도치채집적도상질량엄중하강,급계산궤시각계통성상대래겁대불편。침대상술문제,제출일충기우경심적단폭도상쾌속거무산법。통과암통도대도상처리,득도도상전수도,종이간화대기산사모형,이용경심신식고계대기산사모형,득도변연돌변경심관계비,통과근수평방향상적경심관계비치우화전수도,이용쌍변려파대경물변연진행처리。종3개안색통도출발,강저파장대경심고계적영향。실험결과증명,해산법능구회복경물변연적세절대비도,유효제고도상적청석도여시견도。
Imaging in the atmosphere is often degraded by scattering due to atmospheric particles such as haze, fog, and mist, which brings great inconvenience to the imaging of computer vision system. This paper presents a method based on the depth of field of the single image defogging algorithm quickly to solve this problem. Through dark channel prior on image processing, it gets image transmission chart, thereby simplifies the atmospheric scattering model. It uses depth of field information estimation of atmospheric scattering model to get the depth relationships of scene edge. Through nearly horizontal death ratio improving transmission chart, it uses bilateral filtering for image edge processing. Starting from three color channels reduces the effect of wavelength on estimating depth of field. Experimental results show that this algorithm can effectively recover scene edge contrast details, and effectively improves image clarity, resulting in a great improvement in image visibility.