公开(公告)号：US20100141810A1

公开(公告)日：2010-06-10

申请号：US12328138

申请日：2008-12-04

申请人： LinCheng Wang ,  ChengLun Chang ,  Song Xue

发明人： LinCheng Wang ,  ChengLun Chang ,  Song Xue

IPC分类号： H04N9/64

CPC分类号： H04N5/3675

摘要： The invention relates to a method for bad pixel classification for an image sensor having a plurality of sensing elements. The method includes capturing a plurality of images using the image sensor, determining based on a pre-determined criterion, using an image of the plurality of images and a threshold value selected from one or more pre-determined threshold values, whether a sensing element in the image sensor is defective to generate a vote, wherein a threshold parameter associated with the pre-determined criterion is set to the threshold value, tallying the vote to generate a voting count by performing iterations of the determining step using different images of the plurality of images and different threshold values of the one or more pre-determined threshold values, and classifying the sensing element as a bad pixel if the voting count exceeds a pre-determined classification threshold.

摘要翻译： 本发明涉及一种具有多个传感元件的图像传感器的不良像素分类方法。 该方法包括使用图像传感器捕获多个图像，使用多个图像的图像和从一个或多个预定阈值中选择的阈值，基于预定准则来确定多个图像中的感测元件 所述图像传感器有缺陷以产生投票，其中将与所述预定标准相关联的阈值参数设置为所述阈值，通过使用所述多个图像的不同图像执行所述确定步骤的迭代来计算投票以产生投票计数 图像和一个或多个预定阈值的不同阈值，并且如果投票计数超过预定分类阈值，则将感测元件分类为不良像素。