CAJ | 학술논문

在雨天条件下，由于雨滴对成像系统的不良影响，将会导致获取的图像质量下降，不利于对图像信息进一步处理。针对该问题，首先根据内部生成机制有关理论将雨天图像分解为粗糙子图与细节子图；然后，采用基于形态学分量分析的稀疏分解方法将细节子图划分为有雨部分和无雨部分；最后，利用粗糙子图与无雨部分进行重构得到去雨后的图像。实验结果表明，该方法能够有效去除图像中的雨线，并较好地保留场景的细节信息。
재우천조건하，유우우적대성상계통적불량영향，장회도치획취적도상질량하강，불리우대도상신식진일보처리。침대해문제，수선근거내부생성궤제유관이론장우천도상분해위조조자도여세절자도；연후，채용기우형태학분량분석적희소분해방법장세절자도화분위유우부분화무우부분；최후，이용조조자도여무우부분진행중구득도거우후적도상。실험결과표명，해방법능구유효거제도상중적우선，병교호지보류장경적세절신식。
Under the condition of rainy day, because of the rain has the bad influence on imaging system, it will lead the decrease of the quality of the image, and does not help to further processing image information. To deal with this problem, a kind of automatic image rain removal approach is proposed. Firstly, the rainy image is decomposed into rough sub-graph and detail sub-graph based on internal generative mechanism theory. And then, the sparse decomposition based on morphological component analysis method was used to divide the detail sub-graph into rainy component and non-rain component. Finally, the rough sub-graph was combined with non-rain component so as to reconstruct the rain-free image. The experimental results show that the proposed method can effectively remove the rain streaks in image and keep the state-of-the-art detail information of the scene.