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机构地区:[1]北京理工大学信息科学技术学院光电工程系,北京100081
出 处:《北京理工大学学报》2004年第9期816-820,共5页Transactions of Beijing Institute of Technology
基 金:教育部跨世纪优秀人才培养计划;高等学校博士学科点专项科研基金资助课题(20020007006)
摘 要:分析目标、成像系统及算法等诸多因素对超分辨力复原效果的影响.以一维方波信号的超分辨力复原为对象,分析物体的空间范围、点扩散函数、采样率、噪声及先验约束等对超分辨复原能力的影响.分析表明,物体的空间范围及噪声越小,所复原信号的超分辨能力越强;离散采样信号的复原效果与采样率和系统截止频率有关.一维信号的分析结果可以推广到二维情况,图像的超分辨力分析对研究新型超分辨力复原算法和改善现有算法具有实际意义.Super-resolution algorithms have demonstrated impressive image restoration results in simulations and some practical applications. Analysis of these algorithms' restoration performance has always been a concerned problem of application. Many factors from the object, image acquirement process and restoration algorithm have their effects on the performance of super-resolution. The object of this paper is one-dimensional signal super-resolution restoration, analyzing principally some main effects on super-resolution : the spatial extent of the object, point-spread function, sampling rate, noise level and a priori constraints. It is shown that super-resolution performance is inversely related to the spatial extent of the object and the noise level of the image. For sampled data, restoration performance is related to the difference between sampling rate and the system cutoff frequency. These one-dimensional results can easily be extended to two dimensional images, and may help people to improve in existing super-resolution algorithms.
分 类 号:TN911.73[电子电信—通信与信息系统]
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