CAJ | 학술논문

研究了低能见度条件下的图像清晰化方法,在基于频率域与空间域的传统算法的基础上,提出了传统算法互相结合的新算法,包括 POSHE 算法、基于 POSHE 算法与传统算法相结合的算法、有限对比自适应直方图均衡化的算法、基于 CLAHE 算法和 POSHE 算法与传统算法相结合的算法.以上几种算法,都能对含沙尘的这类图像进行不同程度的增强,得到了较为满意的结果.
연구료저능견도조건하적도상청석화방법,재기우빈솔역여공간역적전통산법적기출상,제출료전통산법호상결합적신산법,포괄 POSHE 산법、기우 POSHE 산법여전통산법상결합적산법、유한대비자괄응직방도균형화적산법、기우 CLAHE 산법화 POSHE 산법여전통산법상결합적산법.이상궤충산법,도능대함사진적저류도상진행불동정도적증강,득도료교위만의적결과.
@@@@The paper was researched methods of image sharpening in condition of low visibility. Based on traditional algo-rithm of frequency domain and space domain, the paper was put forward new algorithm combined traditional algorithm, in-cluding POSHE algorithm, combining traditional algorithm based on POSHE, limited comparison adaptive histogram equaliza-tion algorithm and combining traditional algorithm based on CLAHE algorithm and POSHE algorithm. Above algorithms strengthened the kind of dust image in different degree and obtained approving results.