CAJ | 학술논문

由于暗通道先验的单幅图像去雾方法通常使用导向滤波器来优化大气透射率，在保持较好去雾效果的同时能大大降低算法复杂度。但是由于采用有雾图像作为导向滤波器的导向图，使得优化后的透射图在景深相同或相似的区域不够平滑，并且包含大量的细节信息，导致去雾后的图像在该区域的可视性差。因此，提出了一种新的基于导向滤波优化的单幅图像去雾方法。该方法利用基于大气光幕的导向图对大气透射率进行导向滤波，将优化后的大气透射率结合大气物理散射模型恢复出无雾图像。实验结果表明，相比暗通道先验方法，该方法恢复出的无雾图像色彩更加真实，细节更加丰富，结构更加清晰。
유우암통도선험적단폭도상거무방법통상사용도향려파기래우화대기투사솔，재보지교호거무효과적동시능대대강저산법복잡도。단시유우채용유무도상작위도향려파기적도향도，사득우화후적투사도재경심상동혹상사적구역불구평활，병차포함대량적세절신식，도치거무후적도상재해구역적가시성차。인차，제출료일충신적기우도향려파우화적단폭도상거무방법。해방법이용기우대기광막적도향도대대기투사솔진행도향려파，장우화후적대기투사솔결합대기물리산사모형회복출무무도상。실험결과표명，상비암통도선험방법，해방법회복출적무무도상색채경가진실，세절경가봉부，결구경가청석。
The guided filter is often used in single image dehazing algorithm which is based on dark channel prior. This strategy can optimize atmospheric transmittance, preserve impressive dehazing effects as well as reducing the com-plexity of algorithms. However, the optimized transmittance map is not smooth enough and contains abundant detail information when adopting the hazy image as the guidance of guided filter, which will result in the relative poor visi-bility of the recovered image undoubtedly. Thus, this paper proposes an improved single image dehazing algorithm based on optimized guided filtering. This algorithm utilizes the atmospheric veil-based guide image to filter the atmo-spheric transmittance, then combines the optimized atmospheric transmittance and the atmosphere physical scattering model to recover the hazeoff image. Exhaustive experimental results on a variety of hazy images demonstrate that the color, details and structure of the recovered images are more powerful when compared with the dark channel prior method.