CAJ | 학술논문

为满足海面舰船视频图像海雾去除的实时性要求，提出一种基于引导滤波的快速视频图像海雾去除方法。针对单幅图像，根据经典大气散射物理模型，首先利用暗原色先验估计大气光值和初始透射率，然后利用引导滤波优化透射率，进而求解大气散射物理模型，实现快速去雾；针对视频图像，结合帧差法和引导滤波，利用引导滤波估计视频帧序列的雾气遮罩，实现快速去雾。与其他单幅图像和逐帧视频图像去雾算法分别进行实验仿真对比研究，从主观和客观两方面进行处理结果的图像质量评价。结果表明，所提算法能实现快速海雾去除、有效提高视频去雾效率。
위만족해면함선시빈도상해무거제적실시성요구，제출일충기우인도려파적쾌속시빈도상해무거제방법。침대단폭도상，근거경전대기산사물리모형，수선이용암원색선험고계대기광치화초시투사솔，연후이용인도려파우화투사솔，진이구해대기산사물리모형，실현쾌속거무；침대시빈도상，결합정차법화인도려파，이용인도려파고계시빈정서렬적무기차조，실현쾌속거무。여기타단폭도상화축정시빈도상거무산법분별진행실험방진대비연구，종주관화객관량방면진행처리결과적도상질량평개。결과표명，소제산법능실현쾌속해무거제、유효제고시빈거무효솔。
In order to realize real-time surface vessels’video image sea-fog removal,a fast video image sea-fog removal method based on guided filtering is proposed.For a single image,according to the classical atmos-pheric scattering physical model,the dark channel prior is used to estimate atmospheric light and initial trans-mittance.Then the transmittance is optimized by guided filtering,and fast defogging is obtained by solving the atmospheric scattering physical model.For video images,the frame difference method and guided filtering are combined,and fast video defogging is realized by using guided filtering to estimate fog mask of video frames. Compared with other single image and frame by frame video image defogging algorithm from subjective and ob-jective image quality evaluation,the simulation experimental results show that the proposed algorithm can real-ize fast single sea-fog defogging,and improve the efficiency of video defogging.