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JP2009146231A Super-resolution method and super-resolution program 审中-公开
标题翻译：超分辨率方法和超分辨率方案
公开(公告)号：JP2009146231A
公开(公告)日：2009-07-02
申请号：JP2007324086
申请日：2007-12-14
申请人： Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学
发明人： MAEDA SHINICHI , KANEMURA ATSUNORI , ISHII MAKOTO
IPC分类号： G06T3/00 , G06T1/00 , G06T3/40
摘要： PROBLEM TO BE SOLVED: To provide a super-resolution method, capable of automatically detecting a shielding object to attain accurate super-resolution. SOLUTION: A shielding pattern is defined as a probability variable which takes a discrete value for each pixel of an observation image, and it is assumed that an observation image that does not correspond to an original image is obtained in an area where a shielding object or the like is present. A probability distribution of the probability variables expressing the shielding patterns is modeled as spin glass, and the shielding object or the like is expressed as a continuous area of an optional shape by reflecting the property of the shielding object or the like in which it is frequently connected in a spatially smooth manner. Since the presence/absence of shielding is stochastically estimated by the probability distribution expressing a certainty factor of estimation (posterior distribution of the shielding patterns when observed), estimation can be performed according to the certainty factor, and a high-resolution image can be estimated further accurately, compared with a method for deterministically identifying a shielding area. Since the estimation of the shielding patterns and the estimation of the high-resolution image have a strong dependency for the respective estimation results, these are simultaneously estimated without treating them by independent estimation methods. COPYRIGHT: (C)2009,JPO&INPIT
摘要翻译：要解决的问题：提供能够自动检测屏蔽物体以获得准确的超分辨率的超分辨率方法。解决方案：屏蔽图案被定义为对观察图像的每个像素采取离散值的概率变量，并且假设在以下区域中获得与原始图像不对应的观察图像：屏蔽物等存在。表示屏蔽图案的概率变量的概率分布被建模为旋转玻璃，并且屏蔽物体等通过反映其中经常被屏蔽物体等的性质而被表示为可选形状的连续区域以空间平滑的方式连接。由于屏蔽的存在/不存在通过表示估计的确定性因子（观察时的屏蔽图案的后验分布）的概率分布来随机估计，可以根据确定性因子进行估计，并且可以估计高分辨率图像与用于确定性地识别屏蔽区域的方法相比，进一步精确地。由于屏蔽图案的估计和高分辨率图像的估计对于各个估计结果具有很强的依赖性，所以它们在不用独立估计方法进行处理的同时被估计。版权所有（C）2009，JPO＆INPIT

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