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Automated Statistical Self-Calibrating Detection and Removal of Blemishes in Digital Images Based on Determining Probabilities Based on Image Analysis of Single Images

机译:基于单幅图​​像分析确定概率的数字图像自动统计自校正检测与去除缺陷

摘要

A method of automatically correcting dust artifact within images acquired by a system including a digital camera includes determining probabilities of dust artifact regions corresponding to pixels within a digitally-acquired image based at least in part on a pixel analysis of the region in view of predetermined characteristics indicative of the presence of a dust artifact region. The dust artifact regions are associated with one or more extracted parameters relating to the optical system when the image was acquired. A statistical dust map is formed including mapped dust regions based on the dust artifact determining and associating operations. Digital data is corrected corresponding to correlated dust artifact regions within the acquired image based on the associated statistical dust map.
机译:一种自动校正由包括数字照相机的系统所获取的图像内的灰尘伪影的方法,该方法包括:至少部分地基于预定特征,对该区域的像素分析来确定与数字获取的图像内的像素相对应的灰尘伪影区域的概率。指示存在灰尘伪影区域。当获取图像时,灰尘伪影区域与一个或多个与光学系统有关的提取参数相关联。基于灰尘伪影确定和关联操作,形成包括被映射的灰尘区域的统计灰尘图。基于关联的统计灰尘图,对应于所获取图像内的相关灰尘伪影区域,校正数字数据。

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