CAJ | 학술논문

由于探测器灵敏度的限制，激光雷达、夜视等图像各点的相对灰度较低。基于更快速的混合蛙跳算法(A Fast Shuffled Frog Leaping Algorithm， FSFLA)提出了一种图像自适应快速增强算法。该算法采用了一种具有更大搜索范围、更快的收敛速度的快速混合蛙跳算法，降低了运算时间。它应用于微光图像的处理方面上，较传统的SFLA算法能更快地达到图像增强的效果，更适用于实际应用场合。在给出24个初值的情况下，传统的SFLA算法须迭代平均20次才能达到稳定的效果，而FSFLA仅需6次，因而大幅度地提高了运算时间。
유우탐측기령민도적한제，격광뢰체、야시등도상각점적상대회도교저。기우경쾌속적혼합와도산법(A Fast Shuffled Frog Leaping Algorithm， FSFLA)제출료일충도상자괄응쾌속증강산법。해산법채용료일충구유경대수색범위、경쾌적수렴속도적쾌속혼합와도산법，강저료운산시간。타응용우미광도상적처리방면상，교전통적SFLA산법능경쾌지체도도상증강적효과，경괄용우실제응용장합。재급출24개초치적정황하，전통적SFLA산법수질대평균20차재능체도은정적효과，이FSFLA부수6차，인이대폭도지제고료운산시간。
Because of the limit of the sensitivity of detector, the relative gray scale of radar image and night viewing image is usually very low. So it is necessary to improve the relative gray scale of radar image and night viewing image. An adaptive image enhancement algorithm was proposed based on FSFLA algorithm (A Fast Shuffled Frog Leaping Algorithm). This algorithm was based on FSFLA with larger scan scope, faster convergence rate and shorter computing time. When the algorithm was applied to low light level image, the effect of image enhancement was faster to achieve compared with traditional SFLA algorithm (Shuffled Frog Leaping Algorithm). As a result, this algorithm was more applicable in actual occasion. Under the condition of twenty four given initial value, traditional SFLA algorithm needs to converge twenty times to achieve stability in average while FSFLA algorithm only needs six times in average, thus greatly improving the computing time.