【作者】 李勇； 李平； 文玉梅；

【Author】 Li Yong; Li Ping; Wen Yumei (Key Lab of Optoelectronic Technology and System of MOE, College of Optoelectronic Engineering, Chongqing University, Chongqing 400030, China)

【机构】 重庆大学光电工程学院光电技术及系统教育部重点实验室；

【摘要】 针对空间移变点扩散函数造成的空间移变图像降质,提出一种简单适用的复原算法。算法基于多项式近似逆滤波原理,将能量约束复原滤波器的传递函数按泰勒级数展开,用多项式近似表示,并将展开式与降质图像频域表达式的乘积反傅立叶变换到空间域,由此得出复原图像表达式,是降质图像各阶导数的线性组合,组合系数由成像系统的点扩散函数和能量约束参数唯一确定。对模拟和实际空间移变光电成像系统获取图像的处理表明,算法能有效的复原空间移变点扩散函数造成的图像降质。更多还原

【Abstract】 It proposes an energy-constrained polynomial restoration method for space-variant point spread function. Based on the inverse filtering with polynomial approximation, it uses the Taylor series to represent the energy-constrained restoration. Consequently, the inverse Fourier transform of the restored image is approximately realized in spatial domain by the linear combination of the image’s derivatives. For space-variant point spread function, the linear combining coefficients are functions of spatial coordinates specified by the spacevariant point spread function and the constraint coefficients. The simulations and the restoration of practical blurring images are presented to prove the efficiency of the method.更多还原