光学学报, 2009, 29 (s1): 57, 网络出版: 2009-06-25
基于APEX方法的光电退化图像改进复原算法
The Improved Restoration Algorithm for Opto-Electronic Degraded Image Utilizing APEX Method
大气光学 点扩展函数估计 APEX方法 慢演化连续边界方法 atmospheric optics point spread function (PSF) estimation APEX method slow evolution of continuation boundary (SECB) met
摘要
APEX方法是一种非迭代式的点扩展函数(PSF)估计方法, 适用于实时性要求较高的场合, 但其估计出的PSF在有限支持域内不能保证退化过程能量守恒。在APEX方法的基础上, 针对光电图像的退化特征, 在估计PSF时加入非负限制和归一化处理, 并对APEX方法中的近似常数A和频域中心区域Ω的选取加以改进, 增强了其实用性。最后用慢演化连续边界(SECB)方法重构复原图像, 同时就SECB方法中的两个重构因子K和s的选取给出参考结论。通过仿真, 验证了改进算法不仅增强了稳定性, 而且复原效果也有较大改进。
Abstract
APEX method is a kind of non-iterative restoration approach, can be applicable to some real-time situation. There is a problem that its result point spread function (PSF) can not be sure energy is conversation in finite support area. The PSF was restrained non-minus and linear unitary based on the APEX method, pointing to the degradation character of opto-electronic image, and the approximate constant A and frequency center domain Ω was improved. At last, reconstruct the restoration image utilizing slow evolution of continuation boundary (SECB) method, give the reference conclusion for how to select the reconstruction factor K and s. The simulation indicates the improved algorithm enhanced its stability, the effect of restoration also has been improved.
胡文军, 马德宝, 王锋. 基于APEX方法的光电退化图像改进复原算法[J]. 光学学报, 2009, 29(s1): 57. Hu Wenjun, Ma Debao, Wang Feng. The Improved Restoration Algorithm for Opto-Electronic Degraded Image Utilizing APEX Method[J]. Acta Optica Sinica, 2009, 29(s1): 57.