CAJ | 학술논문

在图像复原中，对降质图像失真的点扩散函数求逆是研究难点之一。现根据先验概率将贝叶斯理论的函数关系化，提出遗传算法的种群繁殖模型，通过逐步演化来执行变换、调整和集成。同时，为了获取更高效的效果，构建Jenkins 持续集成平台进行集成和测试模型参数。最后，从决策支持系统的角度阐述整个系统的框架。
재도상복원중，대강질도상실진적점확산함수구역시연구난점지일。현근거선험개솔장패협사이론적함수관계화，제출유전산법적충군번식모형，통과축보연화래집행변환、조정화집성。동시，위료획취경고효적효과，구건Jenkins 지속집성평태진행집성화측시모형삼수。최후，종결책지지계통적각도천술정개계통적광가。
In image restoration , the inverse operation of point spread function ( PSF) of degraded image is one of research difficulties .The paper demonstrated that the population propagation model of the genetic algorithm is gradually evolved to change , adjust and integrate based on prior probabilities in the function’s relation of bates theory.At the same time, Jenkins continuous integration is implemented in integrating and testing the parameters of model to obtain more efficient result .Finally , the framework for whole system is stated by the view of decision support system .