摘要
本文提出了用迭代计算直接解成像方程以复原图像的方法.同一方法可应用于一维谱形复原.迭代中应用合理的约束条件对过程进行非线性控制.用拟合技术处理成像方程抑制噪声和提高分析灵敏度.对蒙特卡罗样本和空间高能天文实测数据的分析都显示出直接方法比传统的成像法灵敏度高、分辨能力好,可以同时显示对象的弥散和分立结构,能用于统计性更差的观测数据.直接方法原则上可以应用于其它领域各种类型的图像和谱形复原工作.
AH image restoration method of directly solving the image formation equation by iterative procedure is presented in this paper. This method can be applied to spectral deconvolution in one-dirnensional case as well. Some reasonable constain conditions are introduced to make non-linear control in the process of iterations. The fitting technique is used to modify the image formation equation to depress noises and increase the sensitivity. The restoration results for Monte-Carlo samples and for observed data in space high-energy astronomy show that, in comparison with traditional restorations, the direct method has a higher sensitivity and better resolution ability and can be used in the case of more poor statistics. This method is completely model independent and has the capability to simultaneously represent both the extended and 鈥iscrete structures in object.
基金
国家自然科学基金
