首页> 外国专利> Automated statistical self-calibrating detection and removal of blemishes in digital images based on multiple occurrences of dust in images

Automated statistical self-calibrating detection and removal of blemishes in digital images based on multiple occurrences of dust in images

机译:基于图像中灰尘的多次出现,自动进行统计自校准的自动检测和消除数字图像中的污点

摘要

A method automatically corrects dust artifact within images acquired by a system including a digital acquisition device including a lens assembly. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired. A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map.
机译:一种方法自动校正由包括具有透镜组件的数字采集设备的系统采集的图像内的灰尘伪影。用数字获取设备获取多个原始数字图像。至少部分地基于两个或更多个图像内的可疑灰尘伪影区域的比较,确定某些像素与图像内的灰尘伪影区域相对应的概率。当图像被获取时,可能的灰尘伪影区域与提取的与镜头组件有关的参数值相关联。基于确定和关联,形成包括映射的灰尘区域的统计灰尘图。基于相关联的统计灰尘图,在其他数字获取的图像中校正与相关的灰尘伪影区域相对应的像素。

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