CAJ | 학술논문

为了复原有雾天气条件下户外设备所拍摄的降质图像，文章研究了一种快速高效的基于局部对比度最大化和雾天退化物理模型的图像去雾方法。根据户外图像成像的特点并结合图割理论，对原有基于局部对比度最大化的方法进行改进和优化，并选取大量户外受雾影响的降质图像进行实验测试。实验结果表明，本文的方法相对于原有的方法具有更快的处理速度，并且能够得到较好的去雾效果。对户外成像设备的稳定性和可靠性的提高效果显著。
위료복원유무천기조건하호외설비소박섭적강질도상，문장연구료일충쾌속고효적기우국부대비도최대화화무천퇴화물리모형적도상거무방법。근거호외도상성상적특점병결합도할이론，대원유기우국부대비도최대화적방법진행개진화우화，병선취대량호외수무영향적강질도상진행실험측시。실험결과표명，본문적방법상대우원유적방법구유경쾌적처리속도，병차능구득도교호적거무효과。대호외성상설비적은정성화가고성적제고효과현저。
In order to restore visibility from a single degraded image ,we introduce a fast and efficient method based on local contrast maximization and atmospheric scattering model. According to the characteristics of outdoor imaging and the theory of graph cuts, the original method based on local contrast maximization was improved and optimized. we processed a number of degraded outdoor images in experiment, and the experimental results show that this method compared with the original is its processing speed ,and be able to get a better dehazing output. it remarkably improves the stability and reliability of outdoor imaging devices .