现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2013年
18期
108-110
,共3页
单幅图像去雾%暗原色先验%大气散射模型%颜色空间
單幅圖像去霧%暗原色先驗%大氣散射模型%顏色空間
단폭도상거무%암원색선험%대기산사모형%안색공간
single image defogging%dark channel prior%atmospheric scattering model%color space
为改善雾天图像对比度差、能见度低的特点，本文结合雾天成像模型和暗原色先验规律，在颜色空间的基础上提出了一种去雾新算法。首先，在RGB颜色空间，根据暗原色先验规律估计出空气光，然后将图像从RGB颜色空间转换到HSI和HSV颜色空间，再对HSV空间下的明度分量运用大气散射模型进行去雾处理，最后再对HSI空间下的饱和度分量进行校正，最终得到去雾之后的图像。通过该算法能得到清晰化的图像，并且该算法较之传统的单幅图像去雾方法，速度更快、效果更自然。
為改善霧天圖像對比度差、能見度低的特點，本文結閤霧天成像模型和暗原色先驗規律，在顏色空間的基礎上提齣瞭一種去霧新算法。首先，在RGB顏色空間，根據暗原色先驗規律估計齣空氣光，然後將圖像從RGB顏色空間轉換到HSI和HSV顏色空間，再對HSV空間下的明度分量運用大氣散射模型進行去霧處理，最後再對HSI空間下的飽和度分量進行校正，最終得到去霧之後的圖像。通過該算法能得到清晰化的圖像，併且該算法較之傳統的單幅圖像去霧方法，速度更快、效果更自然。
위개선무천도상대비도차、능견도저적특점，본문결합무천성상모형화암원색선험규률，재안색공간적기출상제출료일충거무신산법。수선，재RGB안색공간，근거암원색선험규률고계출공기광，연후장도상종RGB안색공간전환도HSI화HSV안색공간，재대HSV공간하적명도분량운용대기산사모형진행거무처리，최후재대HSI공간하적포화도분량진행교정，최종득도거무지후적도상。통과해산법능득도청석화적도상，병차해산법교지전통적단폭도상거무방법，속도경쾌、효과경자연。
In order to improve the low visibility and poor contrast of fog images,a new defogging algorithm based on color space is proposed in combination with the atmospheric scattering model and the dark channel prior. Firstly,the atmospheric veil is estimated by using dark channel prior in RGB space,the images is converted from RGB color space to HSI and HSV color spaces,and then the defogging processing for lightness in HSV colour space is conducted by using the atmospheric scattering model of foggy weather. The defogged image is obtained by correction of the saturation component in HSI space. In this way,a natural image can be obtained. In comparison with the traditional single image defogging methods,the algorithm is faster and has more natural effectiveness.
