复杂性算法在图像景深扩展中的应用研究  

Application of complexity method in extending depth of field of image

作　　者：项健[1] 范影乐[1] 庞全[1] 

机构地区：[1]杭州电子科技大学生物医学工程与仪器研究所,杭州310018

出　　处：《计算机工程与应用》2007年第15期66-68,共3页Computer Engineering and Applications

基　　金：国家自然科学基金( the National Natural Science Foundation of China under Grant No.60302027) ;浙江省科技计划重点项目( No. 2006C23047)。

摘　　要：由于光学系统受景深小的物理性能限制,对纵向变化范围较大的物体,所拍图片为局部清晰。利用Kolmogorov复杂性测度来度量不同聚焦层面形成的序列图像中对象的局部清晰程度,将序列图像聚焦清晰的部分提取并合并出一幅全清晰图像,实现景深扩展,得到清晰的全景深图像。实验证明,将复杂性测度应用于景深扩展,具有广泛的应用前景。The object in image is partially in focus suffering from limited depth of field of conventional optical systems when the depth of objective is wide.A new method of extending the depth of field by Kolmogorov complexity measure is presented in this paper.The local definition of the stack of focal plane images is measured by the KC measure and a single image is created where all of the objects in that image are in focus.This method is proved to be promised by the experiment.

关 键 词：复杂度 景深扩展 图像序列 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]