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出 处:《物理学报》2009年第1期264-271,共8页Acta Physica Sinica
基 金:国防科技预研项目(批准号:A1120060488)资助的课题~~
摘 要:在Poisson和Markov随机场分布假设基础上,改进了存在噪声时多通道互限制原则,提出了一种基于最大后验概率判据的多通道图像盲复原算法,可在无需已知通道内离散点扩散函数性质、类型和具体分布等先验知识的情况下,在图像幅度限制约束空间和离散点扩散函数能量恒定约束空间内,通过对图像和离散点扩散函数的交替迭代,使两者收敛到全局最优解,最终复原出超分辨率图像.对计算机模拟和实际存在微平移、微离焦情况的图像处理表明:算法在不同信噪比水平和非命中PSF尺寸下具有良好的图像复原效果和稳定性.Single input multichannel output(SIMO) imaging system which enhances the spatial resolution by resampling the same scene increasingly has large applications,and the corresponding image restoration algorithm for uncontrollable SIMO has became the subject of current research.By the assumptions of Poisson,Markov stochastic field and regulation of improved multichannel constraint,the multichannel blind image reconstruction is proposed based on maximum a posteriori rules.The algorithm doesn't need to know the prior knowledge such as character,type and distribution of the degraded point spread function(PSF) in each channel.The pixels and PSF are projected into the amplitude restrained set and energy invariable set,respectively,and their estimates converge to the global optimum solutions by the alterative iteration,and finally,the super-resolution image is restored.Algorithm simulations and the real micro-shift,micro-defocus experiments indicate that it has good restoration effect and stability at different signal noise ratios and for different PSF supports.
关 键 词:泊松-马尔科夫分布 最大后验概率 多通道 盲复原
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]
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