CAJ | 학술논문

为了降低雾天对成像的影响，获得实时的去雾效果，对彩色图像处理流程进行改进，提出一种新颖快速的基于 Bayer 图像和暗原色先验模型的单幅图像去雾方法。针对 Bayer 图像像素排列特点，对原有暗原色先验去雾算法进行了优化和改进。运用四叉树细分算法估算大气光，根据 Bayer 图像特点修正了引导滤波器（Guided Filter），并利用修正的滤波器优化大气透射图，恢复出无雾 Bayer 图像，采用去马赛克及系列后处理算法获得清晰的显示图像。实验结果表明，新方法在一定程度上改善了原算法去雾效果，并显著提高了运算速度。
위료강저무천대성상적영향，획득실시적거무효과，대채색도상처리류정진행개진，제출일충신영쾌속적기우 Bayer 도상화암원색선험모형적단폭도상거무방법。침대 Bayer 도상상소배렬특점，대원유암원색선험거무산법진행료우화화개진。운용사차수세분산법고산대기광，근거 Bayer 도상특점수정료인도려파기（Guided Filter），병이용수정적려파기우화대기투사도，회복출무무 Bayer 도상，채용거마새극급계렬후처리산법획득청석적현시도상。실험결과표명，신방법재일정정도상개선료원산법거무효과，병현저제고료운산속도。
In order to reduce the bad effect in the outdoor visibility system in foggy days and achieve the real-time dehazing effect,a fast and effective method,which is based on Bayer pattern image and dark channel prior,was developed to remove the haze from single image.The color image processing pipeline was improved through this method.Bayer pattern image is the raw data captured by digital camera and costs low memory. According to the characteristics of Bayer pattern image,the original dark channel prior algorithm was optimized and improved.The atmospheric light was estimated based on the quad-tree subdivision.In the optimization process of the transmission map,the coarser estimation was refined using the Guided Filter,which was modified with the property of Bayer pattern image.Finally,the RGB image,which is displayed by the device,was recovered from the haze removal Bayer image using the demosaic algorithm.The experimental results show our new single image haze removal method improves the image quality by reducing the haze effect,and enhances the calculation speed.